Optical communication enhanced IDMBOC for maximizing backhaul-effect & maintaining optimum cell sizes

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Vydáno v:Journal of Optical Communications vol. 46, no. 2 (2025), p. 375
Hlavní autor: Mankar, Kanchan
Další autoři: Varade, Suchita
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Walter de Gruyter GmbH
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100 1 |a Mankar, Kanchan  |u 210930Priyadarshini College of Engineering, Nagpur, MS, India 
245 1 |a Optical communication enhanced IDMBOC for maximizing backhaul-effect & maintaining optimum cell sizes 
260 |b Walter de Gruyter GmbH  |c 2025 
513 |a Journal Article 
520 3 |a The increasing need for high data rates and low latency in optical communication networks necessitates innovative solution for system efficiency enhancements. With the persistent increase in data demand and the emergence of diverse applications in 5G networks, minimizing the backhaul-effect while maintaining optimal cell sizes has become a formidable obstacle. Existing methods are incapable of achieving a comprehensive optimization of network parameters, resulting in degraded performance metrics. To address these constraints, our proposed approach integrates optical communication infrastructure into IDMBOC systems which maximizes backhaul-effect and preserves optimal cell sizes. This work is primarily motivated by the need to improve the efficiency and quality of 5G networks in the face of rising data traffic. Existing methods frequently struggle to optimize concurrently multiple 5G network aspects, such as carrier aggregation, dynamic spectrum sharing, packet prioritization, network function virtualization, frequency planning, HetNets deployments, and network slicing process. As a result, these methods are incapable of delivering robust and scalable solutions. To solve these issues, we present an Iterative dual metaheuristic method that combines ant lion optimization (ALO) and grey wolf optimization (GWO) in a synergistic manner for 5G deployments. The proposed method is functionally superior to existing models. By capitalizing on the strengths of both ALO and GWO, our approach achieves superior performance metrics in comparison to recently proposed methods for maximizing backhaul-effect and maintaining optimal cell sizes. The preliminary results reveal a remarkable 8.3 % reduction in bit error rate (BER), 4.9 % reduction in energy consumption, 8.5 % increase in throughput, and 4.5 % reduction in communication delay. The achieved results demonstrate the revolutionary potential of our 5G network optimization approach and pave the way for future research and advancements in the field for different scenarios. These enhancements will revolutionize optical communication networks in order to accommodate the requirements of 5G, IoT, and other contemporary applications. 
653 |a Wireless networks 
653 |a Network function virtualization 
653 |a Performance measurement 
653 |a Network management systems 
653 |a Communication 
653 |a 5G mobile communication 
653 |a Network slicing 
653 |a Communication networks 
653 |a Optimization 
653 |a Network latency 
653 |a Communications networks 
653 |a Bit error rate 
653 |a Performance degradation 
653 |a Error reduction 
653 |a Maximization 
653 |a Energy consumption 
653 |a Optical communication 
653 |a Heuristic methods 
653 |a Business metrics 
700 1 |a Varade, Suchita  |u 210930Priyadarshini College of Engineering, Nagpur, MS, India 
773 0 |t Journal of Optical Communications  |g vol. 46, no. 2 (2025), p. 375 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3187412726/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
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