Content area

Abstract

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.

Details

Business indexing term
Title
Optical communication enhanced IDMBOC for maximizing backhaul-effect & maintaining optimum cell sizes
Author
Mankar, Kanchan 1 ; Varade, Suchita 1 

 210930Priyadarshini College of Engineering, Nagpur, MS, India 
Publication title
Volume
46
Issue
2
Pages
375-387
Publication year
2025
Publication date
2025
Publisher
Walter de Gruyter GmbH
Place of publication
Berlin
Country of publication
Germany
Publication subject
ISSN
01734911
e-ISSN
21916322
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-03-18
Milestone dates
2024-01-31 (Received); 2024-02-24 (Accepted)
Publication history
 
 
   First posting date
18 Mar 2024
ProQuest document ID
3187412726
Document URL
https://www.proquest.com/scholarly-journals/optical-communication-enhanced-idmboc-maximizing/docview/3187412726/se-2?accountid=208611
Copyright
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Last updated
2025-08-13
Database
ProQuest One Academic