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Presenter:
UMAR DANJUMA MAIWADA
HANDOVER DELAY IMPROVEMENT IN 5G SYSTEMS USING ICH
SERVICES
The 2nd International Conference on Advanced Science and Engineering
2023 (ICASE 2023)
• Abstract
• Background and Problem statement
• Literature
• Methodology
• Experiment
• Result
• Discussion
• Conclusion
• References
CONTENTS
• As 5G networks become increasingly prevalent, seamless mobility and
low-latency handovers are of paramount importance to provide
uninterrupted connectivity and enhance user experience.
• By integrating ICH capabilities into the handover process, the system
gains the ability to intelligently predict and manage handovers
proactively.
• we demonstrated that the incorporation of ICH services significantly
reduces handover delay and enhances overall network efficiency in 5G
environments.
ABSTRACT
BACKGROUND AND PROBLEM STATEMENT
BACKGROUND
• Due to improved wireless technology and increasing accessibility of portable devices,
mobile communication has grown in popularity (H. Anandakumar et al, 2019).
• Handover (also known as handoff) is a crucial process in wireless communication systems,
where a mobile device or user equipment (UE) transitions its connection from one base
station or access point to another as it moves within the network's coverage area (Ş.
Sönmez et al, 2020).
• Intra-cell Handover is the type of handover that occurs when the UE moves within the
coverage area of the same base station. Inter-system Handover occurs when the UE moves
between different wireless communication systems or technologies (K. Kassev et al, 2020).
PROBLEM STATEMENT
• The UE may transition from a 5G network to a 4G LTE network or from a cellular
network to a Wi-Fi network.
• Packet loss.
• Handover delay.
• Fast Base Station Handover (FBHO): This technique involves minimizing handover delays by
pre-selecting target base stations based on received signal strength and other relevant
parameters. The UE initiates the handover process proactively, reducing interruption time
during handover (R. A. Saeed, 2019).
• Mobility Load Balancing (MLB): MLB is a handover optimization technique that distributes
traffic across base stations to prevent network congestion and improve overall performance.
By intelligently managing handovers, MLB aims to balance the load on different cells and
optimize network resources (Y. Xu, et al, 2019).
• Channel scanning, authentication, and association are performed by the L2 handover, which
must come before the L3 handover. After L2 changeover, MN's movement detection
operation can identify migration to a fresh IP subnet. According to the basic MIPv6
specification, MN performs reachability detection during movement detection and then
completes the task by locating a new and different AR that is available (V. Sharma et al,
2019).
LITERATURES
METHODOLOGY
EXPERIMENTAL 1
• Link metrics serves as a data-analysis method used in network theory to assess
connections (Tap link) among nodes. There are 100k different sorts of nodes, including
organizations, people, and transactions, among which relationships can be found.
• A queue metrics is a group of objects that are kept in a series and can be changed by
adding new entities to one point in the series and removing existing ones from the other.
EXPERIMENTAL 2
• Any new wireless system must have a defined area that it addresses because there are numerous low-
energy wireless sensor networks along with additional wireless networks created to address certain
issues.
• Wireless sensor networks are just one of the various types of wireless networks; nonetheless,
6LoWPAN addresses a need in the market. Devices that require wireless connectivity to several other
devices at slower data speeds for devices with very low power consumption are the focus for IPv6
connectivity for low-power radio communication.
RESULTS
DISCUSION
• In this research, we summarize the key findings and outcomes of the experiment on
incorporating ICH services to reduce handover delay in 5G systems.
• We proposed a novel approach to improve handover delay in 5G systems by
leveraging Inter/Intra Handover Control (ICH) services.
• Our findings indicate that the integration of ICH services significantly mitigates
handover delay in various mobility scenarios, including intra-cell, inter-cell, and
inter-system handovers.
• This optimization contributes to better spectrum utilization, reduced signalling
overhead, and enhanced Energy Efficiency for both UE and base stations.
DISCUSSION
CONCLUSION
• In conclusion, our research establishes the significant benefits of integrating ICH
services in 5G systems to address handover delay challenges effectively. The
proposed scheme offers a viable solution to optimize handover performance and
ensure a seamless, uninterrupted user experience for 5G mobile users.
• The findings presented here contribute to the ongoing efforts to enhance 5G
network capabilities and pave the way for a more efficient and immersive mobile
communication era.
• The comparative analysis also demonstrated the advantages of our proposed ICH-
based handover scheme over conventional methods, such as Fast Base Station
Handover. ICH outperformed these traditional techniques, offering superior
handover delay reduction and enhanced performance under varying network load
conditions.
• R. Tortosa-Alted, S. Reverte-Villarroya, E. Martinez-Segura, C. Lopez-Pablo, and M. Berenguer-Poblet, "Emergency
handover of critical patients. A systematic review," International Emergency Nursing, vol. 56, p. 100997, 2021.
• Y. H. Xu, M. L. Liu, J. W. Xie, and J. Zhou, "An IEEE 802.21 MIS based mobility management for D2D communications
‐
over heterogeneous networks (HetNets)," Concurrency and Computation: Practice and Experience, vol. 32, no. 5, p.
e5552, 2020.
• S. Praptodiyono, T. Firmansyah, M. Alaydrus, M. I. Santoso, A. Osman, and R. Abdullah, "Mobile IPv6 vertical
handover specifications, threats, and mitigation methods: a survey," Security and Communication Networks, vol.
2020, pp. 1-18, 2020.
• A. Ahmed, S. Jabbar, M. M. Iqbal, M. Ibrar, A. Erbad, and H. Song, "An Efficient Hierarchical Mobile IPv6 Group-Based
BU Scheme for Mobile Nodes in IoT Network," IEEE Internet of Things Journal, vol. 10, no. 10, pp. 8684-8695, 2022.
• A. Stamou, N. Dimitriou, K. Kontovasilis, and S. Papavassiliou, "Context-aware handover management for HetNets:
Performance evaluation models and comparative assessment of alternative context acquisition strategies,"
Computer Networks, vol. 176, p. 107272, 2020.
• M. S. Hajar, M. K. Chahine, R. Hamdan, and M. S. Qdah, "Performance analysis of vertical handover using predictable
LGD event based on IEEE 802.21," in 2021 IEEE international conference on communications workshops (ICC
workshops), 2021: IEEE, pp. 1-6.
• M. Naresh, D. Venkat Reddy, and K. Ramalinga Reddy, "Multi objective emperor penguin handover optimisation for
‐
IEEE 802.21 in heterogeneous networks," IET Communications, vol. 14, no. 18, pp. 3239-3246, 2020.
• M. Baghani, S. Parsaeefard, M. Derakhshani, and W. Saad, "Dynamic non-orthogonal multiple access and orthogonal
multiple access in 5G wireless networks," IEEE Transactions on Communications, vol. 67, no. 9, pp. 6360-6373, 2019.
• H. Anandakumar, K. Umamaheswari, and R. Arulmurugan, "A study on mobile IPv6 handover in cognitive radio
networks," in International Conference on Computer Networks and Communication Technologies: ICCNCT 2018,
2019: Springer, pp. 399-408.
REFERENCES
THANK YOU
QUESTIONS

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Handover delay improvement reduction penang.pptx

  • 1. Presenter: UMAR DANJUMA MAIWADA HANDOVER DELAY IMPROVEMENT IN 5G SYSTEMS USING ICH SERVICES The 2nd International Conference on Advanced Science and Engineering 2023 (ICASE 2023)
  • 2. • Abstract • Background and Problem statement • Literature • Methodology • Experiment • Result • Discussion • Conclusion • References CONTENTS
  • 3. • As 5G networks become increasingly prevalent, seamless mobility and low-latency handovers are of paramount importance to provide uninterrupted connectivity and enhance user experience. • By integrating ICH capabilities into the handover process, the system gains the ability to intelligently predict and manage handovers proactively. • we demonstrated that the incorporation of ICH services significantly reduces handover delay and enhances overall network efficiency in 5G environments. ABSTRACT
  • 4. BACKGROUND AND PROBLEM STATEMENT BACKGROUND • Due to improved wireless technology and increasing accessibility of portable devices, mobile communication has grown in popularity (H. Anandakumar et al, 2019). • Handover (also known as handoff) is a crucial process in wireless communication systems, where a mobile device or user equipment (UE) transitions its connection from one base station or access point to another as it moves within the network's coverage area (Ş. Sönmez et al, 2020). • Intra-cell Handover is the type of handover that occurs when the UE moves within the coverage area of the same base station. Inter-system Handover occurs when the UE moves between different wireless communication systems or technologies (K. Kassev et al, 2020). PROBLEM STATEMENT • The UE may transition from a 5G network to a 4G LTE network or from a cellular network to a Wi-Fi network. • Packet loss. • Handover delay.
  • 5. • Fast Base Station Handover (FBHO): This technique involves minimizing handover delays by pre-selecting target base stations based on received signal strength and other relevant parameters. The UE initiates the handover process proactively, reducing interruption time during handover (R. A. Saeed, 2019). • Mobility Load Balancing (MLB): MLB is a handover optimization technique that distributes traffic across base stations to prevent network congestion and improve overall performance. By intelligently managing handovers, MLB aims to balance the load on different cells and optimize network resources (Y. Xu, et al, 2019). • Channel scanning, authentication, and association are performed by the L2 handover, which must come before the L3 handover. After L2 changeover, MN's movement detection operation can identify migration to a fresh IP subnet. According to the basic MIPv6 specification, MN performs reachability detection during movement detection and then completes the task by locating a new and different AR that is available (V. Sharma et al, 2019). LITERATURES
  • 7. EXPERIMENTAL 1 • Link metrics serves as a data-analysis method used in network theory to assess connections (Tap link) among nodes. There are 100k different sorts of nodes, including organizations, people, and transactions, among which relationships can be found. • A queue metrics is a group of objects that are kept in a series and can be changed by adding new entities to one point in the series and removing existing ones from the other.
  • 8. EXPERIMENTAL 2 • Any new wireless system must have a defined area that it addresses because there are numerous low- energy wireless sensor networks along with additional wireless networks created to address certain issues. • Wireless sensor networks are just one of the various types of wireless networks; nonetheless, 6LoWPAN addresses a need in the market. Devices that require wireless connectivity to several other devices at slower data speeds for devices with very low power consumption are the focus for IPv6 connectivity for low-power radio communication.
  • 10. DISCUSION • In this research, we summarize the key findings and outcomes of the experiment on incorporating ICH services to reduce handover delay in 5G systems. • We proposed a novel approach to improve handover delay in 5G systems by leveraging Inter/Intra Handover Control (ICH) services. • Our findings indicate that the integration of ICH services significantly mitigates handover delay in various mobility scenarios, including intra-cell, inter-cell, and inter-system handovers. • This optimization contributes to better spectrum utilization, reduced signalling overhead, and enhanced Energy Efficiency for both UE and base stations. DISCUSSION
  • 11. CONCLUSION • In conclusion, our research establishes the significant benefits of integrating ICH services in 5G systems to address handover delay challenges effectively. The proposed scheme offers a viable solution to optimize handover performance and ensure a seamless, uninterrupted user experience for 5G mobile users. • The findings presented here contribute to the ongoing efforts to enhance 5G network capabilities and pave the way for a more efficient and immersive mobile communication era. • The comparative analysis also demonstrated the advantages of our proposed ICH- based handover scheme over conventional methods, such as Fast Base Station Handover. ICH outperformed these traditional techniques, offering superior handover delay reduction and enhanced performance under varying network load conditions.
  • 12. • R. Tortosa-Alted, S. Reverte-Villarroya, E. Martinez-Segura, C. Lopez-Pablo, and M. Berenguer-Poblet, "Emergency handover of critical patients. A systematic review," International Emergency Nursing, vol. 56, p. 100997, 2021. • Y. H. Xu, M. L. Liu, J. W. Xie, and J. Zhou, "An IEEE 802.21 MIS based mobility management for D2D communications ‐ over heterogeneous networks (HetNets)," Concurrency and Computation: Practice and Experience, vol. 32, no. 5, p. e5552, 2020. • S. Praptodiyono, T. Firmansyah, M. Alaydrus, M. I. Santoso, A. Osman, and R. Abdullah, "Mobile IPv6 vertical handover specifications, threats, and mitigation methods: a survey," Security and Communication Networks, vol. 2020, pp. 1-18, 2020. • A. Ahmed, S. Jabbar, M. M. Iqbal, M. Ibrar, A. Erbad, and H. Song, "An Efficient Hierarchical Mobile IPv6 Group-Based BU Scheme for Mobile Nodes in IoT Network," IEEE Internet of Things Journal, vol. 10, no. 10, pp. 8684-8695, 2022. • A. Stamou, N. Dimitriou, K. Kontovasilis, and S. Papavassiliou, "Context-aware handover management for HetNets: Performance evaluation models and comparative assessment of alternative context acquisition strategies," Computer Networks, vol. 176, p. 107272, 2020. • M. S. Hajar, M. K. Chahine, R. Hamdan, and M. S. Qdah, "Performance analysis of vertical handover using predictable LGD event based on IEEE 802.21," in 2021 IEEE international conference on communications workshops (ICC workshops), 2021: IEEE, pp. 1-6. • M. Naresh, D. Venkat Reddy, and K. Ramalinga Reddy, "Multi objective emperor penguin handover optimisation for ‐ IEEE 802.21 in heterogeneous networks," IET Communications, vol. 14, no. 18, pp. 3239-3246, 2020. • M. Baghani, S. Parsaeefard, M. Derakhshani, and W. Saad, "Dynamic non-orthogonal multiple access and orthogonal multiple access in 5G wireless networks," IEEE Transactions on Communications, vol. 67, no. 9, pp. 6360-6373, 2019. • H. Anandakumar, K. Umamaheswari, and R. Arulmurugan, "A study on mobile IPv6 handover in cognitive radio networks," in International Conference on Computer Networks and Communication Technologies: ICCNCT 2018, 2019: Springer, pp. 399-408. REFERENCES