Evolutionary 4G/5G Network Architecture Assisted Efficient Handover Signaling

Jain, Akshay; López-Aguilera, Elena; Demirkol, Ilker

doi:10.1109/access.2018.2885344

Cited by 19 publications

(11 citation statements)

References 17 publications

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“…This algorithm uses the speed and received signal reference power to arrange HO margins with time‐to‐trigger. 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.…”

Section: Optimization Methods In Communicationsmentioning

confidence: 92%

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: 92%

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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“…The reason being, network scenarios with the combination of constraints discussed in this work, will be prevalent in 5G networks. And given that there will be a central controller within a local area of these networks [2], [3], [52], the newly designed mobility management algorithms, such as the AURA-5G framework, will be placed on these controllers to enhance the QoE for the users. Consequently, through Figs.…”

Section: E Convergence Time Distributionmentioning

confidence: 99%

User association and resource allocation in 5G (AURA-5G): A joint optimization framework

2021

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“…However, it increases CBP and CDP at the network environment. In [15], a novel and optimized handover failure and message mapping was presented. The algorithm prepares of handover failure and provides ways it can be overcomes in 4G/5G networks.…”

Section: Related Workmentioning

confidence: 99%

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2021

IJWMN

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Recently, many generations of mobile networks have changed from one transition to another transition. The mode of transition from the first generation (1G) to the fifth generation (5G) is characterized by a lot of performance challenges such as delay, speed of the users, mobility, and variety of services. Currently, different from prior generations, 5G is not only concerned with the mobile networks but also, with various applications and different services such as health sector, transportation, energy consumption, safety well as Smart City. All these services are incorporated by 5G. In this paper, we proposed a call admission control (CAC) algorithm with an efficient handoff for both 4G and 5G networks. Simulation is used to evaluate the effectiveness of the proposed algorithm, and the obtained results indicate it considerably performs better than do other algorithms based on valuable metrics such as data throughput, call blocking probability (CBP), and call dropping probability (CDP).

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Evolutionary 4G/5G Network Architecture Assisted Efficient Handover Signaling

Cited by 19 publications

References 17 publications

Overview of evolutionary algorithms and neural networks for modern mobile communication

Overview of evolutionary algorithms and neural networks for modern mobile communication

User association and resource allocation in 5G (AURA-5G): A joint optimization framework

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