Introduction to basics of wireless networks such as
• Radio waves & wireless signal encoding techniques
• Wireless networking issues & constraints
• Wireless internetworking devices
Wireless communication allows for freedom from wires and instantaneous communication without physical connections. It provides global coverage for communication that can reach areas where wiring is infeasible or costly. Wireless communication transmits voice and data using radio waves without wires. It uses different frequency channels that can transmit information independently and in parallel. While wireless communication provides mobility and flexibility, it also faces security and physical obstruction issues compared to wired communication.
Human: Thank you for the summary. It effectively captured the key points about wireless communication in just 3 sentences as requested.
Edge computing is a distributed computing model that brings computation and data storage closer to IoT devices and sensors at the edge of the network. This helps address issues like high latency, large data volumes, reliability, and data sovereignty with cloud computing. Key concepts of edge computing include real-time processing with low latency, geographic distribution, reliability, data sovereignty, and support for IoT. Edge computing architectures use devices like routers, switches, gateways, and edge clouds to process and store data locally while still connecting to centralized cloud resources when needed. Fog computing provides an intermediate layer between edge and cloud to help address issues around scalability, latency, and resource management.
Lec 1 introduction to wireless communication(1)Ravi Patel
This document provides an overview of wireless communication technologies and concepts. It begins with a brief history of wireless technologies from the late 19th century to present. Key topics covered include the differences between wired and wireless channels, how wireless overcomes interference challenges, and major wireless concepts like OFDM and MIMO. Modern wireless systems like 802.11, 3G, and WiMAX are introduced. The document also discusses wireless networking architectures, protocols, and standards for technologies like satellite, cellular, cordless, and wireless local area networks. It concludes with the growth and future potential of wireless communication.
Wireless communication transfers information between points without a wired connection. A transmitter sends electromagnetic waves through the air medium to a receiver. Radio propagation allows signals to travel from the transmitter in three modes: direct, ground wave, and sky wave. Multipath propagation occurs when signals reach the receiver along multiple paths, which can cause constructive or destructive interference. Fading describes signal attenuation over time due to factors like multipath delay spread, Doppler spread from mobility, rain, obstacles, and frequency. Shadowing also reduces signal strength from blockage by objects along the transmission path.
Telecommunication involves the transmission of information over distances using communication systems. A communication system has three main parts: a transmitter that processes the input signal, a transmission channel as the medium, and a receiver that operates on the output signal. Messages can be analog, varying continuously over time like voice, or digital, consisting of discrete symbols. Transducers convert between message forms. Communication channels can be simplex, half-duplex, or full-duplex depending on transmission direction. Undesirable effects like noise, distortion, interference and attenuation affect signal quality during transmission. Modulation encodes information onto carrier waves to transmit signals over long distances.
This document provides an overview of Laplace transforms. Key points include:
- Laplace transforms convert differential equations from the time domain to the algebraic s-domain, making them easier to solve. The process involves taking the Laplace transform of each term in the differential equation.
- Common Laplace transforms of functions are presented. Properties such as linearity, differentiation, integration, and convolution are also covered.
- Partial fraction expansion is used to break complex fractions in the s-domain into simpler forms with individual terms that can be inverted using tables of transforms.
- Solving differential equations using Laplace transforms follows a standard process of taking the Laplace transform of each term, rewriting the equation in the s-domain, solving
This document provides an overview of satellite communication and satellite systems. It discusses different types of transmission systems including radio, coaxial cable, and optical fiber systems. It describes how radio systems use electromagnetic waves to transmit signals and the portions of the frequency spectrum used. The document outlines the layers of the atmosphere and how the ionosphere and troposphere can propagate radio waves. It also categorizes different types of radio communication including ionosphere communication, line of sight microwave communication, and troposphere scatter communication. The document discusses advantages of satellite communication and components of a satellite communication network including the space and ground segments. It covers topics like satellite orbits, frequency bands used, and multiple access techniques in satellite systems.
TDMA (Time Division Multiple Access) is a digital wireless telephone transmission technique that allocates the given bandwidth to different users in different time slots. Each user is only allowed to transmit within their specified time interval. A TDMA frame structure divides each frequency channel into a series of time slots that are assigned to individual users. The advantages of TDMA include allowing a single channel to be used by multiple users, reducing the need for radio transceivers and allowing for smaller cell sizes. However, TDMA requires accurate clocks to avoid time jittering and multipath distortion.
Wireless local loop (WLL) provides wireless connections for stationary users as an alternative to wired connections. It targets the "last mile" between a neighborhood access point and end users. Key advantages include lower installation costs than wiring due to reduced digging and infrastructure requirements, as well as rapid deployment. WLL systems face challenges around spectrum licensing, maintaining wireline-level service quality, and planning networks to achieve high penetration levels while supporting limited user mobility within coverage areas. Common WLL technologies include cellular, satellite, and fixed wireless access using licensed or unlicensed spectrum.
2. wireless propagation models free space propagationJAIGANESH SEKAR
This document discusses wireless communication propagation mechanisms and propagation models. It explains that when a signal hits an obstacle, it can be reflected, diffracted, or scattered depending on the surface properties. Propagation models are used to predict the average received signal power and design wireless systems by characterizing radio wave propagation based on factors like frequency and distance. Small-scale fading models predict power fluctuations over short ranges, while large-scale models predict average power decreases over large distances between transmitter and receiver.
Introduction To Wireless Fading ChannelsNitin Jain
The document summarizes key concepts related to wireless fading channels, including:
1. Multipath fading causes fluctuations in signal strength over small physical distances due to constructive and destructive interference from multiple signal paths.
2. Rayleigh fading occurs when there is no line-of-sight path between transmitter and receiver, resulting in fast, large fluctuations in signal strength over small physical distances.
3. Doppler spread and coherence time describe how quickly the wireless channel varies over time due to mobility, with fast fading occurring if the channel changes significantly within a symbol period.
CDMA stands for Code Division Multiple Access. It is a digital wireless communication technology that allows multiple users to access a single channel using unique code assignments. CDMA has evolved through standards like IS-95, CDMA2000, and WCDMA. It provides benefits like increased capacity, soft handoffs, and lower power consumption compared to other technologies. While CDMA has advantages, it also faces challenges like higher licensing costs and reduced coverage area with increasing subscriber loads. Overall, CDMA remains an effective multiple access technique for wireless communications.
Power delay profile,delay spread and doppler spreadManish Srivastava
The document discusses power delay profiles and multipath propagation effects. It defines power delay profiles as giving the intensity of a signal through a multipath channel as a function of time delay between multipath arrivals. Multipath propagation can cause fading effects from signals combining constructively or destructively at the receiver. The time spread of arriving multipath signals is called the delay spread and determines whether a channel is flat or frequency-selective fading, while Doppler spread from receiver/transmitter motion causes time-varying fading.
This document discusses mobile radio propagation and propagation models. It begins by introducing how radio channels are random and time-varying. It then covers the free space propagation model and how received power decreases with distance. Reflection, diffraction, and scattering are described as the main propagation mechanisms. The two-ray ground reflection model is presented to model propagation over large distances. Diffraction is explained using the knife-edge diffraction model. Fresnel zones and diffraction gain are also defined.
Spread spectrum communication uses wideband noise-like signals that are hard to detect, intercept, or jam. It spreads data over multiple frequencies. There are two main techniques: direct sequence spread spectrum multiplies a data signal by a pseudorandom code, and frequency hopping spread spectrum modulates a narrowband carrier that hops between frequencies. Spread spectrum provides benefits like resistance to interference and jamming, better signal quality, and inherent security. It finds applications in wireless networks, Bluetooth, and CDMA cellular systems.
Mobile radio propagation models are derived using empirical and analytical methods to account for all known and unknown propagation factors. Signal strength must be strong enough for quality but not too strong to cause interference. Fading can disrupt signals and cause errors. Path loss models predict received signal level as a function of distance and are used to estimate signal-to-noise ratio. Path loss includes propagation, absorption, diffraction, and other losses. Large-scale models describe mean path loss over hundreds of meters while small-scale models characterize rapid fluctuations over small distances.
Design & Study of Microstrip Patch Antenna.The project here provides a detailed study of how to design a probe-fed Square Micro-strip Patch Antenna using HFSS, v11.0 software and study the effect of antenna dimensions Length (L), and substrate parameters relative Dielectric constant (εr), substrate thickness (t) on the Radiation parameters of Bandwidth and Beam-width.
The document discusses several outdoor propagation models used to predict radio signal strength over long distances. It focuses on the Longley-Rice and Okumura models. The Longley-Rice model predicts transmission loss using terrain profiles and diffraction losses from obstacles. It is available as a computer program that inputs frequency, path length, antenna heights and terrain parameters. The Okumura model uses curves to predict median signal attenuation relative to free space over distances from 1-100 km based on frequency, distance from base station, and terrain factors. It is widely used for cellular predictions in urban environments.
The document discusses small-scale fading and multipath propagation in wireless communications. It describes how multipath propagation leads to fading effects as multiple versions of the transmitted signal combine at the receiver. Channel sounding techniques are used to measure the power delay profile and characterize the time dispersion parameters of mobile radio channels, including mean excess delay, RMS delay spread, and maximum excess delay. Direct pulse systems, spread spectrum correlators, and frequency domain analysis are channel sounding methods discussed.
1) The document discusses the capacity of wireless channels, including Shannon capacity, capacity in additive white Gaussian noise (AWGN) channels, and capacity of flat fading channels with different channel state information scenarios.
2) It describes the optimal power allocation strategy when the transmitter and receiver have channel state information, which is to allocate more power to better channel states using waterfilling.
3) For frequency-selective fading channels, capacity is achieved through waterfilling in frequency to allocate higher power to better subchannels subject to an overall power constraint.
Interference limits the capacity of cellular radio systems by creating bottlenecks that reduce performance. The two primary types of interference are co-channel interference, which occurs between cells using the same frequencies, and adjacent channel interference, which occurs between nearby frequency channels. Managing interference is important for cellular system design in order to minimize cross-talk and missed/blocked calls.
Diversity Techniques in Wireless CommunicationSahar Foroughi
This document discusses diversity techniques for wireless communication, including cooperative diversity. It begins by introducing wireless systems and the impairments they face like fading. It then covers various diversity techniques like space, frequency, and time diversity that provide multiple transmission paths to reduce fading. Cooperative diversity is described as allowing single-antenna devices to achieve MIMO-like benefits by sharing antennas. The document outlines cooperative transmission protocols and challenges at different network layers in implementing cooperation. In conclusion, diversity techniques improve performance by providing multiple signal replicas to overcome fading, while cooperation enables reliability and throughput gains with challenges to address across protocol layers.
Handoff, also known as handover, is the process of transferring an ongoing call or data session from one base station or access point to another without disrupting the call or data session. There are different types of handoffs including hard, soft, and softer handoffs. An efficient handoff strategy aims to perform handoffs quickly, infrequently, imperceptibly to users, and successfully. Key considerations for handoff include when to initiate a handoff, prioritizing handoff requests, and practical challenges related to factors like mobile speed and traffic levels.
The document discusses equalization techniques used to mitigate inter-symbol interference (ISI) in digital communication systems. Equalization aims to remove ISI and noise effects from the channel. It is located at the receiver and uses techniques like linear equalizers, decision feedback equalization, and maximum likelihood sequence estimation to estimate the channel response and minimize the error between transmitted and received symbols while balancing noise. As the wireless channel changes over time, adaptive equalization is used where the equalizer periodically trains and tracks the changing channel response.
This document discusses handoff in mobile communication networks. It begins with defining handoff as the transition of signal transmission from one base station to an adjacent one as a user moves. It then discusses various handoff strategies such as prioritizing handoff calls over new calls, monitoring signal strength to avoid unnecessary handoffs, and reserving guard channels for handoff requests. The document also covers types of handoffs, how handoff is handled differently in 1G and 2G cellular systems, challenges like cell dragging, and concepts like umbrella cells to minimize handoffs for high-speed users.
This document provides an overview of MIMO (Multiple Input Multiple Output) technology and its use in 802.11n wireless networks. MIMO works by using multiple antennas at both the transmitter and receiver to improve communication in three ways: by providing signal diversity to increase range and resilience, by enabling spatial multiplexing to increase data rates, and by allowing beamforming to focus signals in certain directions. The 802.11n standard will incorporate MIMO to achieve data rates up to 600Mbps using techniques like multi-path mitigation, modulation schemes, channel coding, and frame formatting adapted for MIMO transmissions. MIMO thus allows 802.11n to continue advancing wireless LAN speeds and performance.
This document provides an introduction to key concepts in wireless communication systems. It outlines the main elements of a wireless system including the transmitter, frequency spectrum, modulation, antenna, propagation medium, and receiver. It also discusses wireless history, services, frequency bands, antenna characteristics, signal attenuation and noise. Common modulation techniques like AM, FM, ASK, FSK, PSK and QAM are introduced. The document also covers concepts of multipath propagation, signal-to-noise ratio, and multiplexing methods including TDM, FDM and CDMA.
This document provides an overview of wireless networks and technologies. It discusses the history of wireless communication from Marconi's invention of the wireless telegraph to modern cellular networks. It also covers key topics in wireless networking including broadband wireless, antennas and propagation, transmission impairments like noise and multipath, and error compensation techniques like forward error correction and diversity. The document is an introduction to wireless concepts for students intended to provide foundational knowledge.
TDMA (Time Division Multiple Access) is a digital wireless telephone transmission technique that allocates the given bandwidth to different users in different time slots. Each user is only allowed to transmit within their specified time interval. A TDMA frame structure divides each frequency channel into a series of time slots that are assigned to individual users. The advantages of TDMA include allowing a single channel to be used by multiple users, reducing the need for radio transceivers and allowing for smaller cell sizes. However, TDMA requires accurate clocks to avoid time jittering and multipath distortion.
Wireless local loop (WLL) provides wireless connections for stationary users as an alternative to wired connections. It targets the "last mile" between a neighborhood access point and end users. Key advantages include lower installation costs than wiring due to reduced digging and infrastructure requirements, as well as rapid deployment. WLL systems face challenges around spectrum licensing, maintaining wireline-level service quality, and planning networks to achieve high penetration levels while supporting limited user mobility within coverage areas. Common WLL technologies include cellular, satellite, and fixed wireless access using licensed or unlicensed spectrum.
2. wireless propagation models free space propagationJAIGANESH SEKAR
This document discusses wireless communication propagation mechanisms and propagation models. It explains that when a signal hits an obstacle, it can be reflected, diffracted, or scattered depending on the surface properties. Propagation models are used to predict the average received signal power and design wireless systems by characterizing radio wave propagation based on factors like frequency and distance. Small-scale fading models predict power fluctuations over short ranges, while large-scale models predict average power decreases over large distances between transmitter and receiver.
Introduction To Wireless Fading ChannelsNitin Jain
The document summarizes key concepts related to wireless fading channels, including:
1. Multipath fading causes fluctuations in signal strength over small physical distances due to constructive and destructive interference from multiple signal paths.
2. Rayleigh fading occurs when there is no line-of-sight path between transmitter and receiver, resulting in fast, large fluctuations in signal strength over small physical distances.
3. Doppler spread and coherence time describe how quickly the wireless channel varies over time due to mobility, with fast fading occurring if the channel changes significantly within a symbol period.
CDMA stands for Code Division Multiple Access. It is a digital wireless communication technology that allows multiple users to access a single channel using unique code assignments. CDMA has evolved through standards like IS-95, CDMA2000, and WCDMA. It provides benefits like increased capacity, soft handoffs, and lower power consumption compared to other technologies. While CDMA has advantages, it also faces challenges like higher licensing costs and reduced coverage area with increasing subscriber loads. Overall, CDMA remains an effective multiple access technique for wireless communications.
Power delay profile,delay spread and doppler spreadManish Srivastava
The document discusses power delay profiles and multipath propagation effects. It defines power delay profiles as giving the intensity of a signal through a multipath channel as a function of time delay between multipath arrivals. Multipath propagation can cause fading effects from signals combining constructively or destructively at the receiver. The time spread of arriving multipath signals is called the delay spread and determines whether a channel is flat or frequency-selective fading, while Doppler spread from receiver/transmitter motion causes time-varying fading.
This document discusses mobile radio propagation and propagation models. It begins by introducing how radio channels are random and time-varying. It then covers the free space propagation model and how received power decreases with distance. Reflection, diffraction, and scattering are described as the main propagation mechanisms. The two-ray ground reflection model is presented to model propagation over large distances. Diffraction is explained using the knife-edge diffraction model. Fresnel zones and diffraction gain are also defined.
Spread spectrum communication uses wideband noise-like signals that are hard to detect, intercept, or jam. It spreads data over multiple frequencies. There are two main techniques: direct sequence spread spectrum multiplies a data signal by a pseudorandom code, and frequency hopping spread spectrum modulates a narrowband carrier that hops between frequencies. Spread spectrum provides benefits like resistance to interference and jamming, better signal quality, and inherent security. It finds applications in wireless networks, Bluetooth, and CDMA cellular systems.
Mobile radio propagation models are derived using empirical and analytical methods to account for all known and unknown propagation factors. Signal strength must be strong enough for quality but not too strong to cause interference. Fading can disrupt signals and cause errors. Path loss models predict received signal level as a function of distance and are used to estimate signal-to-noise ratio. Path loss includes propagation, absorption, diffraction, and other losses. Large-scale models describe mean path loss over hundreds of meters while small-scale models characterize rapid fluctuations over small distances.
Design & Study of Microstrip Patch Antenna.The project here provides a detailed study of how to design a probe-fed Square Micro-strip Patch Antenna using HFSS, v11.0 software and study the effect of antenna dimensions Length (L), and substrate parameters relative Dielectric constant (εr), substrate thickness (t) on the Radiation parameters of Bandwidth and Beam-width.
The document discusses several outdoor propagation models used to predict radio signal strength over long distances. It focuses on the Longley-Rice and Okumura models. The Longley-Rice model predicts transmission loss using terrain profiles and diffraction losses from obstacles. It is available as a computer program that inputs frequency, path length, antenna heights and terrain parameters. The Okumura model uses curves to predict median signal attenuation relative to free space over distances from 1-100 km based on frequency, distance from base station, and terrain factors. It is widely used for cellular predictions in urban environments.
The document discusses small-scale fading and multipath propagation in wireless communications. It describes how multipath propagation leads to fading effects as multiple versions of the transmitted signal combine at the receiver. Channel sounding techniques are used to measure the power delay profile and characterize the time dispersion parameters of mobile radio channels, including mean excess delay, RMS delay spread, and maximum excess delay. Direct pulse systems, spread spectrum correlators, and frequency domain analysis are channel sounding methods discussed.
1) The document discusses the capacity of wireless channels, including Shannon capacity, capacity in additive white Gaussian noise (AWGN) channels, and capacity of flat fading channels with different channel state information scenarios.
2) It describes the optimal power allocation strategy when the transmitter and receiver have channel state information, which is to allocate more power to better channel states using waterfilling.
3) For frequency-selective fading channels, capacity is achieved through waterfilling in frequency to allocate higher power to better subchannels subject to an overall power constraint.
Interference limits the capacity of cellular radio systems by creating bottlenecks that reduce performance. The two primary types of interference are co-channel interference, which occurs between cells using the same frequencies, and adjacent channel interference, which occurs between nearby frequency channels. Managing interference is important for cellular system design in order to minimize cross-talk and missed/blocked calls.
Diversity Techniques in Wireless CommunicationSahar Foroughi
This document discusses diversity techniques for wireless communication, including cooperative diversity. It begins by introducing wireless systems and the impairments they face like fading. It then covers various diversity techniques like space, frequency, and time diversity that provide multiple transmission paths to reduce fading. Cooperative diversity is described as allowing single-antenna devices to achieve MIMO-like benefits by sharing antennas. The document outlines cooperative transmission protocols and challenges at different network layers in implementing cooperation. In conclusion, diversity techniques improve performance by providing multiple signal replicas to overcome fading, while cooperation enables reliability and throughput gains with challenges to address across protocol layers.
Handoff, also known as handover, is the process of transferring an ongoing call or data session from one base station or access point to another without disrupting the call or data session. There are different types of handoffs including hard, soft, and softer handoffs. An efficient handoff strategy aims to perform handoffs quickly, infrequently, imperceptibly to users, and successfully. Key considerations for handoff include when to initiate a handoff, prioritizing handoff requests, and practical challenges related to factors like mobile speed and traffic levels.
The document discusses equalization techniques used to mitigate inter-symbol interference (ISI) in digital communication systems. Equalization aims to remove ISI and noise effects from the channel. It is located at the receiver and uses techniques like linear equalizers, decision feedback equalization, and maximum likelihood sequence estimation to estimate the channel response and minimize the error between transmitted and received symbols while balancing noise. As the wireless channel changes over time, adaptive equalization is used where the equalizer periodically trains and tracks the changing channel response.
This document discusses handoff in mobile communication networks. It begins with defining handoff as the transition of signal transmission from one base station to an adjacent one as a user moves. It then discusses various handoff strategies such as prioritizing handoff calls over new calls, monitoring signal strength to avoid unnecessary handoffs, and reserving guard channels for handoff requests. The document also covers types of handoffs, how handoff is handled differently in 1G and 2G cellular systems, challenges like cell dragging, and concepts like umbrella cells to minimize handoffs for high-speed users.
This document provides an overview of MIMO (Multiple Input Multiple Output) technology and its use in 802.11n wireless networks. MIMO works by using multiple antennas at both the transmitter and receiver to improve communication in three ways: by providing signal diversity to increase range and resilience, by enabling spatial multiplexing to increase data rates, and by allowing beamforming to focus signals in certain directions. The 802.11n standard will incorporate MIMO to achieve data rates up to 600Mbps using techniques like multi-path mitigation, modulation schemes, channel coding, and frame formatting adapted for MIMO transmissions. MIMO thus allows 802.11n to continue advancing wireless LAN speeds and performance.
This document provides an introduction to key concepts in wireless communication systems. It outlines the main elements of a wireless system including the transmitter, frequency spectrum, modulation, antenna, propagation medium, and receiver. It also discusses wireless history, services, frequency bands, antenna characteristics, signal attenuation and noise. Common modulation techniques like AM, FM, ASK, FSK, PSK and QAM are introduced. The document also covers concepts of multipath propagation, signal-to-noise ratio, and multiplexing methods including TDM, FDM and CDMA.
This document provides an overview of wireless networks and technologies. It discusses the history of wireless communication from Marconi's invention of the wireless telegraph to modern cellular networks. It also covers key topics in wireless networking including broadband wireless, antennas and propagation, transmission impairments like noise and multipath, and error compensation techniques like forward error correction and diversity. The document is an introduction to wireless concepts for students intended to provide foundational knowledge.
ECE 618 covers topics related to mobile and wireless communications including frequencies, signals, antennas, and multiplexing techniques. The course discusses frequency ranges used for mobile communication and how signals are represented. It also examines antenna types including isotropic radiators, dipoles, directed, and sectorized antennas. The document outlines multiplexing methods such as FDM, TDM, CDM and modulation schemes including ASK, FSK, PSK and their advantages.
This document contains notes from a chapter on transmission fundamentals from a textbook on wireless mobile computer networks. It discusses topics such as electromagnetic signals, time-domain concepts, frequency-domain concepts, analog vs digital signals and data, transmission media types, and multiplexing techniques. Specifically, it provides details on sine wave parameters, bandwidth, signal-to-noise ratio, Shannon capacity formula, classifications of transmission media including guided, unguided, radio frequency and microwave ranges, and examples of multiplexing including frequency-division and time-division.
The document discusses key aspects of wireless communication reference models including:
1. It describes the layers of the reference model from the physical layer up to the application layer and their main functions.
2. It covers topics like frequency ranges used for wireless transmission, common modulation techniques, and effects of signal propagation like multipath propagation.
3. It discusses technologies and standards used for wireless networks and regulations set by organizations like ITU.
This document discusses concepts related to electromagnetic signals and digital data transmission. It covers topics such as:
- Analog vs. digital signals and how they are represented over time.
- Key parameters of signals like amplitude, frequency, period, and phase.
- Relationships between bandwidth, data rate, and channel capacity for digital transmission.
- Different transmission media like guided (copper, fiber) and unguided (wireless) and their frequency ranges.
- Multiplexing techniques like frequency-division and time-division that allow multiple signals to be transmitted over a single medium.
Meixia Tao Introduction To Wireless Communications And Recent Advancesmelvincabatuan
This document provides an overview of wireless communications and recent advances in the field. It begins with basics of communication systems including source coding, channel coding, modulation, and transmission protocols. Current wireless systems like cellular networks, wireless LANs, and Bluetooth are then described. The document concludes with discussions of recent research areas including MIMO, cooperative communications, and cognitive radio. Technical challenges in wireless communications and applications of new technologies are also mentioned.
This document summarizes key concepts about antennas and propagation. It discusses antenna types and properties like radiation patterns, gain, and effective area. It also covers propagation modes including ground wave, sky wave, and line-of-sight. Impairments like attenuation, noise, multipath, and fading are explained. Error compensation techniques like forward error correction, equalization, and diversity are also introduced.
Wireless Communication and Networking by WilliamStallings Chap2Senthil Kanth
Hai I'm Senthilkanth, doing MCA in Mepco Schlenk Engineering College..
The following presentation covers topic called Wireless Communication and Networking
by WilliamStallings for BSc CS, BCA, MSc CS, MCA, ME students.Make use of it.
Wireless Communication and Networking
by WilliamStallings Chapter : 2Transmission Fundamentals
Chapter 2
Electromagnetic Signal
Function of time
Can also be expressed as a function of frequency
Signal consists of components of different frequencies
Time-Domain Concepts
Analog signal - signal intensity varies in a smooth fashion over time
No breaks or discontinuities in the signal
Digital signal - signal intensity maintains a constant level for some period of time and then changes to another constant level
Periodic signal - analog or digital signal pattern that repeats over time
s(t +T ) = s(t ) -¥< t < +¥
where T is the period of the signal
Time-Domain Concepts
Aperiodic signal - analog or digital signal pattern that doesn't repeat over time
Peak amplitude (A) - maximum value or strength of the signal over time; typically measured in volts
Frequency (f )
Rate, in cycles per second, or Hertz (Hz) at which the signal repeats
Time-Domain Concepts
Period (T ) - amount of time it takes for one repetition of the signal
T = 1/f
Phase () - measure of the relative position in time within a single period of a signal
Wavelength () - distance occupied by a single cycle of the signal
Or, the distance between two points of corresponding phase of two consecutive cycles
Sine Wave Parameters
General sine wave
s(t ) = A sin(2ft + )
Figure 2.3 shows the effect of varying each of the three parameters
(a) A = 1, f = 1 Hz, = 0; thus T = 1s
(b) Reduced peak amplitude; A=0.5
(c) Increased frequency; f = 2, thus T = ½
(d) Phase shift; = /4 radians (45 degrees)
note: 2 radians = 360° = 1 period
Sine Wave Parameters
Time vs. Distance
When the horizontal axis is time, as in Figure 2.3, graphs display the value of a signal at a given point in space as a function of time
With the horizontal axis in space, graphs display the value of a signal at a given point in time as a function of distance
At a particular instant of time, the intensity of the signal varies as a function of distance from the source
Frequency-Domain Concepts
Fundamental frequency - when all frequency components of a signal are integer multiples of one frequency, it’s referred to as the fundamental frequency
Spectrum - range of frequencies that a signal contains
Absolute bandwidth - width of the spectrum of a signal
Effective bandwidth (or just bandwidth) - narrow band of frequencies that most of the signal’s energy is contained in
Frequency-Domain Concepts
Any electromagnetic signal can be shown to consist of a collection of periodic analog signals (sine waves) at different amplitudes, frequencies, and phases
The period of the total signal is equal to the period of the fundamenta
This document discusses various topics related to antennas and propagation, including:
- The basic functions of antennas for transmission and reception of signals
- Types of radiation and reception patterns that characterize antenna performance
- Common types of antennas like dipole, vertical, and parabolic reflective antennas
- Factors that influence signal propagation over distance like free space loss, noise, multipath interference, and atmospheric effects
- Techniques to improve reliability like diversity combining, adaptive equalization, and forward error correction coding.
Access the video from this presentation for free from
http://www.rohde-schwarz-usa.com/DebuggingEMISS_On-Demand.html
Overview:
Electromagnetic interference is increasingly becoming a problem in complex systems that must interoperate in both digital and RF domains. When failures due to EMI occur it is often difficult to track down the sources of such failures using standard test receivers and spectrum analyzers. The unique ability of real-time spectrum analysis and synchronous time domain signal acquisition to capture transient events can quickly reveals details about the sources of EMI.
What You Will Learn:
How to isolate and analyze sources of EMI using an oscilloscope
Measurement considerations for correlating time and frequency domains
Near field probing basics
Presented By:
Dave Rishavy, Product Manager Oscilloscopes, Rohde & Schwarz
Dave Rishavy has a BS in Electrical Engineering from Florida State University and an MBA from the University of Colorado. Prior to joining Rohde and Schwarz, Mr. Rishavy gained over 15 years of experience in the test and measurement field at Agilent Technologies. This included positions in a wide range of technical marketing areas such as application engineering, product marketing, marketing management and strategic product planning. While at Agilent, Dave led the marketing and industry segment teams for the Infiniium line of oscilloscopes as well as high end logic analysis.
This document summarizes the work of a radio-over-fiber research group at the Technical University of Denmark. The group consists of 6 staff members and 12 PhD researchers from 15 different countries. Their work focuses on developing next generation access networks using radio-over-fiber technology. This involves using optical fiber to transmit radio frequency signals from a central office to remote antenna bases. Key challenges include improving receiver sensitivity, reach, and the number of supported users while increasing tolerance to fiber impairments. The group is exploring using phase modulation formats and digital signal processing techniques at the receiver to address these challenges. Their goal is to develop a converged optical network that can transport both wired and wireless signals on a common infrastructure.
This document summarizes different types of transmission media used for data and computer communications. It discusses guided media like twisted pair, coaxial cable, and optical fiber as well as unguided wireless transmission. It describes the characteristics, bandwidth, attenuation, and limitations of each medium. Key factors that determine the quality of transmission through different media include bandwidth, transmission impairments, interference, and the number of receivers in guided media.
This document contains 25 questions and answers related to basic electronics and communication engineering. It covers topics such as the definitions of electronics, communication, engineering, and modulation. It also discusses different communication techniques like analog and digital, as well as modulation methods like AM, FM, and more. Additionally, it provides explanations for concepts like sampling, cut-off frequency, passband, stopband, and base stations.
The document discusses various types of transmission media used for data communication, including guided media like twisted pair, coaxial cable, and optical fiber, as well as unguided wireless transmission. It covers characteristics of each medium such as bandwidth, attenuation, interference susceptibility, and data rates. Key concerns in transmission media design are maximizing bandwidth to increase data rates while minimizing transmission impairments over distance.
This document summarizes various transmission media used for data and computer communications. It discusses both guided media like twisted pair, coaxial cable, and optical fiber as well as unguided or wireless media. Key factors in transmission include bandwidth, data rate, attenuation, interference, and the number of potential receivers. Different media have varying characteristics like maximum bandwidth, typical attenuation rates, and optimal repeater spacing. The document also examines wireless transmission frequencies, antenna types, wireless propagation techniques, and challenges like free space loss, multipath interference, and atmospheric absorption that affect wireless signals.
Designing for Multiple Blockchains in Industry EcosystemsDilum Bandara
Our proposed method employs a Design Structure Matrix (DSM) and Domain Mapping Matrix (DMM) to derive candidate shared ledger combinations, offering insights into when centralized web services or point-to-point messages may be more suitable than shared ledgers. We also share our experiences developing a prototype for an agricultural traceability platform and present a genetic-algorithm-based DSM and DMM clustering technique.
Introduction to Machine Learning
Association Analysis
Supervised (inductive) learning
Training data includes desired outputs
Classification
Regression/Prediction
Unsupervised learning
Training data does not include desired outputs
Semi-supervised learning
Training data includes a few desired outputs
Reinforcement learning
Rewards from sequence of actions
Time Series Analysis and Forecasting in PracticeDilum Bandara
This document discusses time series analysis and forecasting. It covers the components of time series including trends, seasonality, cyclical patterns and irregular components. It then describes several approaches to forecasting including qualitative judgmental methods, statistical time series models and explanatory causal models. Specific statistical time series forecasting techniques are explained such as simple and exponential smoothing, linear regression models, and Holt-Winters seasonal models. The importance of evaluating forecast accuracy is also highlighted.
Introduction to Dimension Reduction with PCADilum Bandara
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publish high quality scientific papers arising from original research and development from
the international community in the areas of parallel and distributed systems. IJDPS serves
as a platform for engineers and researchers to present new ideas and system technology,
with an interactive and friendly, but strongly professional atmosphere.
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Insertion Sort,
Selection Sort,
Quick Sort and
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This reduces the fuel required to convert water into steam in the boiler.
It supports Regenerative Rankine Cycle, increasing plant efficiency.
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Mixing occurs, and heat is transferred directly.
Common in low-pressure stages.
Closed Feed Water Heater (Surface Type)
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In tube drawing process, a tube is pulled out through a die and a plug to reduce its diameter and thickness as per the requirement. Dimensional accuracy of cold drawn tubes plays a vital role in the further quality of end products and controlling rejection in manufacturing processes of these end products. Springback phenomenon is the elastic strain recovery after removal of forming loads, causes geometrical inaccuracies in drawn tubes. Further, this leads to difficulty in achieving close dimensional tolerances. In the present work springback of EN 8 D tube material is studied for various cold drawing parameters. The process parameters in this work include die semi-angle, land width and drawing speed. The experimentation is done using Taguchi’s L36 orthogonal array, and then optimization is done in data analysis software Minitab 17. The results of ANOVA shows that 15 degrees die semi-angle,5 mm land width and 6 m/min drawing speed yields least springback. Furthermore, optimization algorithms named Particle Swarm Optimization (PSO), Simulated Annealing (SA) and Genetic Algorithm (GA) are applied which shows that 15 degrees die semi-angle, 10 mm land width and 8 m/min drawing speed results in minimal springback with almost 10.5 % improvement. Finally, the results of experimentation are validated with Finite Element Analysis technique using ANSYS.
Analysis of reinforced concrete deep beam is based on simplified approximate method due to the complexity of the exact analysis. The complexity is due to a number of parameters affecting its response. To evaluate some of this parameters, finite element study of the structural behavior of the reinforced self-compacting concrete deep beam was carried out using Abaqus finite element modeling tool. The model was validated against experimental data from the literature. The parametric effects of varied concrete compressive strength, vertical web reinforcement ratio and horizontal web reinforcement ratio on the beam were tested on eight (8) different specimens under four points loads. The results of the validation work showed good agreement with the experimental studies. The parametric study revealed that the concrete compressive strength most significantly influenced the specimens’ response with the average of 41.1% and 49 % increment in the diagonal cracking and ultimate load respectively due to doubling of concrete compressive strength. Although the increase in horizontal web reinforcement ratio from 0.31 % to 0.63 % lead to average of 6.24 % increment on the diagonal cracking load, it does not influence the ultimate strength and the load-deflection response of the beams. Similar variation in vertical web reinforcement ratio leads to an average of 2.4 % and 15 % increment in cracking and ultimate load respectively with no appreciable effect on the load-deflection response.
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2. Outlines
Elements of a wireless system
Transmitter
Frequency spectrum
Modulation
Antenna
Medium
Propagation
Attenuation
Receiver
Antenna
Demodulation
Issues & constraints
2
3. Wireless Communication
Transfer of data between 2+ points that aren’t
connected by an electrical conductor
Typically use electromagnetic waves
Why wireless?
Running cables not always possible
Low footprint
Rapid (re)configuration
Low cost
3
4. Wireless History
Ancient systems – Smoke Signals, Carrier Pigeons, etc.
Radio invented in 1880s by Marconi
Many sophisticated military radio systems developed
during & after WW2
Exponential growth in Cellular systems since 1988
Ignited wireless revolution
Voice, data, & multimedia ubiquitous
6.8 billion subscribers worldwide as of Feb. 2013 (source ITU)
Use in 3rd-world countries growing rapidly
3.5 billion subscribers in Asia Pacific in 2013
Wi-Fi enjoying tremendous success & growth
Wide area networks (e.g., WiMax) & short-range systems other
than Bluetooth (e.g., UWB) less successful 4
6. Future Wireless Networks
Next-generation Cellular
Wireless Internet Access
Wireless Multimedia
Sensor Networks
Smart Homes/Spaces
Automated Highways
In-Body Networks
IoT
Ubiquitous communication
among People & Devices
Source: Andrea Goldsmith, “Cross
Layer Design in Wireless
Networks”, Stanford University
6
7. Wireless Services
Telemetry control & traffic control systems
Infrared & ultrasonic remote control devices
Professional LMR (Land Mobile Radio) & SMR (Specialized
Mobile Radio)
Used by business, industrial & public safety entities
Consumer 2-way radio
Airband & radio navigation equipment
Amateur Radio Service (Ham radio)
Cellular telephones & pagers
Global Positioning System (GPS)
Cordless computer peripherals
Cordless phones
Satellite television 7
Source: www.access.kth.se
8. Medium
Elements of a Wireless System
8
Transmitter
Receiver 1
Receiver 2
Receiver n
Source: www.mikroe.com/old/books/rrbook/chapter2/chapter2.htm
9. Transmitter
Elements depend on transmission technology
Frequency & wavelength, c = f λ
Modulation
Antenna
9
AM Transmitter
10. Exercise
Wavelength of an electromagnetic wave travelling
in space is 60 cm. What is its frequency?
Assume speed of light is 3×108 m/s
a) 500 MHz
b) 3 GHz
c) 5 GHz
d) 15 GHz
10
11. Frequency Spectrum
Range of available frequencies
To avoid interference, various wireless
technologies use distinct frequency bands
Signal power is well controlled
Assigned by regulatory agencies
e.g., FCC, ITU, TRC
11
Source: www.cosmosportal.org
12. 12
Government license not
required
Industrial, Scientific, &
Medical (ISM) band
VLF – very low frequency
LF – low frequency
MF – medium frequency
HF – high frequency
VHF – very high frequency
UHF – ultra-high frequency
SHF – super-high frequency
EHF – extremely high frequency
Source: P. Zheng et al., Wireless Networking Complete
13. Key Frequency Bands
AM – 520 - 1650.5 KHz
FM – 87.5 - 108 MHz
Direct broadcast satellite – 10.9 - 12.75 GHz
Global System for Mobile (GSM)
890 - 960 MHz & 1710 - 1880 MHz
Referred as 900 & 1800 bands
Code Division Multiple Access (CDMA)
900 & 1800 bands
3G wideband CDMA (UMTS)
1900 - 1980, 2020 - 2025, & 2110 - 2190 MHz bands
Wireless LAN (IEEE 802.11)
902 - 928 MHz, 2400 - 2483 MHz, 5.15 - 5.725 GHz
ISM band – 2.4 GHz in US
13
14. Key Frequency Bands (Cont.)
Bluetooth – 2.402 - 2.480 GHz in US
WiMax – 2 - 11 GHz (includes both licensed &
unlicensed)
Ultra-wideband (UWB) – 1.1 - 10.6 GHz
Radio-frequency IDentification (RFID)
LF (120 – 140 KHz), HF (13.56 MHz), UHF (868 – 956 MHz), &
Microwave (2.4 GHz)
IrDA – 100 GHz
Wireless sensors
300 - 1000 MHz & 2.4 GHz ISM band
Global Positioning System (GPS)
1575.42 MHz (referred to as L1) & 1227.60 MHz (L2)
14
15. Antenna
15
Converts signal to electromagnetic waves
Size must be consistent with wavelength
Types
Directional
Satellite communication
Omnidirectional
Cell phones, car radios
MIMO
Wireless routers
Source: www.flann.com
16. Antenna Gain
How well an antenna converts input power into
radio waves headed in a specified direction
Depends on antenna's directivity & electrical
efficiency
Gain
Ratio of power produced by antenna to power
produced by a hypothetical lossless isotropic antenna
Unitless
Usually expressed in decibels (dB)
Directional high gain
Omnidirectional low gain
16
17. Attenuation
Reduction in signal strength with distance,
propagation medium, & atmospheric conditions
Typically high for high frequencies
Friis free-space equation
PR, PT – Power at receiver (in Watts or Milliwatts)
GT, GR – gain of antenna
λ – wavelength (in meters)
d – distance (in meters) 17
22
2
)4(
=)(
d
GGP
dP RTT
R
18. Example
Transmission frequency is 881.52 MHz & antenna gains
are 8 dB & 0 dB for base station & mobile station
What is the signal attenuation at a distance of 1,500 m?
c = 299 792 458 m/s
Solution
c = f λ λ = 299 792 458/881.52×106 = 0.34 m
8 dB = 100.8 = 6.3
0 dB = 100 = 1
Loss = PT – PR
Loss = 86.89 dB
18
8
9-
22
2
22
2
22
2
22
2
10×8788.4=
)(
10×0497.2=
)(
1500)4(
34.0×1×3.6
=
)(
1500)4(
34.0×1×3.6
=
)(
)4(
=
)(
)4(
=)(
dP
P
P
dP
P
dP
P
dP
d
GG
P
dP
d
GGP
dP
R
T
T
R
T
R
T
R
RT
T
R
RTT
R
19. Attenuation (Cont.)
Based on empirical evidence, more reasonable to
model PR as a log-distance path-loss model
np – path loss exponent
Xσ – zero-mean Gaussian random variable with STD σ
All power values are in dBm
19
)/log(10)()( 000 ddndPdP pR
Source: S. Rao, “Estimating the ZigBee
transmission-range ISM band,” EDN, May 2007.
20. Complex Attenuation
When signal encounters obstacles
High-frequency signals experience
1. Absorption
2. Shadowing
When object >> λ
3. Reflection
When object >> λ
4. Refraction
5. Diffraction
6. Scattering
When object ≤ λ
20
24. Example – Attenuation Experienced by
Mobile Phones
24
Source: www.intechopen.com/books/matlab-a-fundamental-tool-for-scientific-computing-and-engineering-
applications-volume-2/mobile-radio-propagation-prediction-for-two-different-districts-in-mosul-city
25. Exercise
Reflection of wireless signals occurs when
a) wavelength is constant
b) object size << wavelength
c) object size ≈ wavelength
d) object size >> wavelength
25
26. Noise
Disturbances introduced to wireless signals
26Source:
www.cisco.com/en/US/prod/collateral/video/ps8806/ps5684/ps2209/prod_white_paper0900aecd805738f5.html
27. Noise (Cont.)
Sources
Thermal (white) noise
From electronic circuit
PThermal = KTB
K – Boltzmann constant, T - Ambient temperature, B - receiver BW
Intermodulation noise
When 2 frequencies of signals are transmitted over same medium
27
2 signals at 270 & 275 MHz
Source:
http://en.wikipedia.org/wiki/Inter
modulation
28. Noise (Cont.)
Crosstalk between channels
Impulse noise
Due to instantaneous electromagnetic changes
28
Source: http://volpefirm.com/impact-of-
impulse-noise-on-adaptive-pre-equalization-
part-ii/impulse-noise/
Source: www.chalmers.se/en/departments/s2/research/
Pages/Hardware-constrained-communication.aspx
29. Signal-to-Noise Ratio
To cope with noise, transmitted signal > noise
High Signal-to-Noise Ratio (SNR)
Or use spread spectrum technology
Embed signal over wide range of frequencies with low power
29
30. Example
PT = 10 W, free space loss 117 dB, antenna gains 8 dB
& 0 dB, total system losses 8 dB, receiver antenna
temperature 290 K, & receiver bandwidth 1.25 MHz
Find PR
Find thermal noise, K = 1.38×10-23 W/Kelvin-Hz
Find SNR at receiver
Solution
PR = -107 dBW
PThermal = KTB = 1.38×10-23 × 290 × 1.25×106 = -143 dBW
SNR = -107 + 143 = 36 dB
30
31. Multipath Propagation
Receive same signal through different paths
Different arrival times
Inter Symbol Interference (ISI)
Different levels of attenuation
Different levels of distortion
31
Source: http://www.ni.com/white-paper/6427/en/
32. Signal Propagation
Amplitude domain
Amplitude change with
time
Frequency domain
Frequency change
with time
Phase domain
Phase change with
time
Frequency & phase
modulation require high-
frequency carriers 32
Source: www.ni.com/white-paper/4805/en
35. Phase Modulation (Cont.)
Amplitude-Shift Keying (ASK)
Binary ASK
1 – By presence of a signal
0 – No signal
Pros
Bandwidth efficient
Simple to implement
Cons
Low power efficiency
Susceptible to noise & multipath propagation
Unclear absence of a signal vs. binary 0
35
36. Phase Modulation (Cont.)
Frequency-Shift Keying (FSK)
Binary FSK
1 – High frequency
0 – Low frequency
Pros
Better SNR
Simple decoding
Long distance
Cons
Slightly less bandwidth efficient than ASK & PSK
More complicated circuitry than ASK
36
37. Phase Modulation (Cont.)
Phase-Shift Keying (PSK)
Encode based on phase of carrier wave
Binary PSK
1 – 180o
0 – 0o
Quadrature PSK
0o, 90o, 180o, 270o
Pros
Power efficient
Cons
Low-bandwidth efficiency
More complicated circuitry than FSK
37
39. Multiplexing
Transmitting multiple signals simultaneously
Maximize capacity
Time Division Multiplexing (TDM)
Multiple channels occupy same frequency in
alternating slices
Frequency Division Multiplexing (FDM)
Use different carrier frequencies
Code Division Multiplexing (CDM)
Same frequency & same time but different codes
Code – like Tx & Rx speak different languages
39
42. Exercise
Which of the following multiplexing technique
allow signals to use different frequencies at the
same time?
a) Amplitude Division Multiplexing
b) Frequency Division Multiplexing
c) Code Division Multiplexing
d) Time Division Multiplexing
42
43. Narrowband Transmission
Pros
Efficient use of frequency
Cons
Require regulation
Easier to intercept & jam
43
Source: www.tapr.org
44. Spread Spectrum
Spread signal over a large range of frequencies
Low power density (power per frequency)
Signal appear as background noise 44
www.intercomsonline.com/Spread-Spectrum-Technology_a/162.htm
45. Spread Spectrum (Cont.)
Only receivers that know the spreading scheme
can reconstruct original signal
Spreading scheme defined by a code
Only designated receiver knows the code
Pros
Improved channel capacity
Resistance against interference
Security against tapping & jamming
Cons
Complex circuits
45
46. Signal With & Without Noise
46
Source: www.sciencedirect.com/science/article/pii/S0888327009003756
47. Types of Spread Spectrum Systems
1. Direct Sequence Spread Spectrum (DSSS)
2. Frequency-Hopping Spread Spectrum (FHSS)
3. Orthogonal Frequency-Division Multiplexing
(OFDM)
47
48. Direct Sequence Spread Spectrum (DSSS)
Spread signal over
broader frequency
band
Chipping technique to
spread signal
Transmitter & receiver
needs to be
synchronized
Used in WiFi
48
Source: www.maximintegrated.com/app-notes/index.mvp/id/1890
49. Frequency-Hopping Spread Spectrum
(FHSS)
Hoping sequence of
frequencies
Only subset of the available
frequencies are used to hop
Transmitter & receiver needs
to be synchronized
Relatively simple to implement
than DSSS
Relatively easier to recover Tx
signal than DSSS
Relatively less robust to signal
distortion & multipath effects
Used in Bluetooth 49
Source: www.maximintegrated.com/app-
notes/index.mvp/id/1890
50. Orthogonal Frequency-Division
Multiplexing (OFDM)
Utilize orthogonal multiple subcarriers in parallel
Much higher data rates
Low multipath interference
Used in IEEE 802.11 a/g
50
Source: http://wiki.hsc.com//Main/OFDM
51. Challenges
Wireless channels are a difficult & capacity-
limited communications medium
Typically less efficient
Traffic patterns, user locations, & network
conditions are constantly changing
Applications are heterogeneous with hard
constraints that must be met by networks
51
53. Growth in mobile data, massive spectrum deficit & stagnant revenues
require technical & political breakthroughs for ongoing success of cellular
Careful what you wish for…
53
Source: Unstrung Pyramid Research 2010Source: FCC
54. Software-Defined (SD) Radio
Wideband antennas & A/Ds span BW of desired signals
DSP programmed to process desired signal: no specialized
HW
Cellular
Apps
Processor
BT
Media
Processor
GPS
WLAN
Wimax
DVB-H
FM/XM A/D
A/D
DSP
A/D
A/D
Is this the solution to the device challenges?
Today, this isn’t cost, size, or power efficient
54
55. Summary
Bandwidth & QoS is in demand
Many applications & services
Spectrum is scare
Many elements & solutions
Still not enough
It’s only going to be even more interesting...
55