Smart Virtualization Packets Forwarding During Handover for Beyond 5G Networks

Yaseen, Fouad A.; Al-Raweshidy, Hamed S.

doi:10.1109/access.2019.2915268

Cited by 8 publications

(11 citation statements)

References 27 publications

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“…HO performance is improved in this case and can be efficient for mobility management 193‐195 . The HO topic 196‐198 and the number of used HOs 199,200 in mobile communication are described in References 46,201‐209. Determining an optimal HO is significant because they can be useless when users are far from the serving cell.…”

Section: Optimization Methods In Communicationsmentioning

confidence: 98%

“…HO performance is improved in this case and can be efficient for mobility management. [193][194][195] The HO topic [196][197][198] and the number of used HOs 199,200 in mobile communication are described in References 46,[201][202][203][204][205][206][207][208][209] Determining an optimal HO is significant because they can be useless when users are far from the serving cell. The optimal prediction times for macrocell user equipment (UEs) are briefly explained in Reference 210.…”

Section: Self-optimizationmentioning

confidence: 99%

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Overview of evolutionary algorithms and neural networks for modern mobile communication

Kouhalvandi

Shayea

Özoğuz

et al. 2022

Trans Emerging Tel Tech

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The sixth generation (6G) of mobile networks must support the huge growth of mobile connections and provides various intelligent services in future mobile networks. For that, designing high-performance network architecture and communication systems (CSs) as well as finding coherent solutions for the determined problems is critical demand that needs to be achieved in 6G networks.Optimal solutions are mainly sought by using modifiable, smart, and perceptive algorithms aimed at optimizing more specific tasks. Therefore, advanced optimization methods are highly required to accommodate the requirements of CSs efficiently. That will be in various parts of the future networks such as advanced mobility management, multi communication links, efficient power consumption, ultra-lower latency, ultra-security, high speed, and reliable connectivity.Accordingly, highly accurate and smart functions must be modeled to optimize the required communication parameters in the network. This study provides a comprehensive overview of optimization methods that may need further investigations and developments to be applied in 6G networks at various parts of networks. A detailed theoretical description for each method is presented and discussed to elucidate future research directions for optimizing specific characteristics with multi-objective optimizations. Moreover, this article illustrates the conceptual and structural viewpoints of reported optimization methods. Also, the capability of various optimization methods that can offer industrial solutions in 6G is discussed. The potential applications of each method are also analyzed. Finally, this article presented the research issues and future directions of optimization technology and research gaps that need to be addressed before the standardization of 6G networks. INTRODUCTIONRecently, innovative solutions of communication systems (CSs) have been developed impressively, as data traffic is increasing exponentially by more than 50% per year. 1 Several factors will contribute for increasing data demand massively, for example, as predicted by CISCO, the video will make up 82% of the all IP traffic by 2022. 2,3 This massive increase in data traffic will cause several new issues that will facing the implementation of future mobile networks. That will include a dramatic increase for wider spectrum need, 4 the necessity for big system capacity, 5 further mobility issues, 6,7 and higher energy consumption, 8 in which cannot be handled efficiently by the current cellular networks.

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Section: Optimization Methods In Communicationsmentioning

confidence: 98%

Section: Self-optimizationmentioning

confidence: 99%

Overview of evolutionary algorithms and neural networks for modern mobile communication

Kouhalvandi

Shayea

Özoğuz

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…In regards to possible solutions that ensure QoS requirements for packet loss are met, a network architecture is studied in Reference 53 where the flexibility and agility of a network system is attempted to achieve with the help of software defined network (SDN) and network functions virtualization (NFV). Besides, to minimize issues such as bandwidth depletion and handover processing delay increment, which causes high packet loss, a mobile node (MN) centric network based SDN and NFV is proposed.…”

Section: Potential Solutions In Meeting Qosmentioning

confidence: 99%

Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

Ahmed

Mahmood

Matin

2022

Trans Emerging Tel Tech

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The 6G wireless network with its superior capabilities must be considered to accommodate the much more stringent quality of service (QoS) requirements of the numerous emerging applications and services in the future. Attempting to adhere these constraints raise various challenges that are required to be addressed and solved in order to realize the vision of a fully intelligent and automated future society. This article provides the key enabling technologies and future applications for 6G networks followed by a discussion on QoS. It also presents a state-of-the-art survey on the challenges faced while trying to meet the QoS requirements regarding the time latency, throughput, connectivity, packet loss, and bandwidth, together with possible solutions to handle various constraints. A discussion on user satisfaction estimation from QoS analysis is also included. Finally, the article concludes with future research opportunities in meeting the QoS constraints of the 6G network.

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“…Yaseen and Al-Raweshidy [35] developed a handover mechanism in a 5G heterogeneous network. Here, the tag was generated for identifying the mobile nodes with media access control.…”

Section: C) Software-defined Network-based Approachesmentioning

confidence: 99%

Analytical Review and Study on Various Vertical Handover Management Technologies in 5G Heterogeneous Network

Kiran¹,

Rao²

2022

Infocommunications journal

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In recent mobile networks, due to the huge number of subscribers, the traffic may occur rapidly; therefore, it is complex to guarantee the accurate operation of the network. On the other hand, the Fifth generation (5G) network plays a vital role in the handover mechanism. Handover management is a prominent issue in 5G heterogeneous networks. Therefore, the Handover approach relocates the connection between the user equipment and the consequent terminal from one network to another. Furthermore, the handover approaches manage each active connection for the user equipment. This survey offers an extensive analysis of 50 research papers based on existing handover approaches in the 5G heterogeneous network. Finally, existing methods considering conventional vertical handover management strategies are elaborated to improve devising effective vertical handover management strategies. Moreover, the possible future research directions in attaining efficient vertical handover management in a 5G heterogeneous network are elaborated.

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Smart Virtualization Packets Forwarding During Handover for Beyond 5G Networks

Cited by 8 publications

References 27 publications

Overview of evolutionary algorithms and neural networks for modern mobile communication

Overview of evolutionary algorithms and neural networks for modern mobile communication

Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

Analytical Review and Study on Various Vertical Handover Management Technologies in 5G Heterogeneous Network

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