Modified archimedes optimization algorithm-based resources allocation in multicell D2D communications

Device-to-device (D2D) is very imperative for fifth-generation communication systems. It helps to enhance direct and short-distance communication between mobile users. D2D communication (D2DC) allows D2D users to reuse the licensed spectrum of cellular users (CUs) to boost the cellular network'...

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Bibliographic Details
Published in:Cluster computing Vol. 28; no. 5; p. 294
Main Authors: Patil, Priyanka, Hendre, Vaibhav S.
Format: Journal Article
Language:English
Published: New York Springer US 01.10.2025
Springer Nature B.V
Subjects:
Algorithms
Communication
Communications systems
Computer Communication Networks
Computer Science
Efficiency
Exploitation
Internet of Things
Operating Systems
Optimization
Optimization algorithms
Processor Architectures
Quality of service
Resource allocation
Resource utilization
Trends
D2D communication
Sum rate
Cellular network
Resource allocation
ISSN:1386-7857, 1573-7543
Online Access:Get full text
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Summary:Device-to-device (D2D) is very imperative for fifth-generation communication systems. It helps to enhance direct and short-distance communication between mobile users. D2D communication (D2DC) allows D2D users to reuse the licensed spectrum of cellular users (CUs) to boost the cellular network's resource utilization. This paper presents the optimal D2D resource allocation (RA) using the modified Archimedes optimization (MAoA) algorithm for the multicell scenario. The traditional AoA suffers from a poor balance between exploitation and exploration for the multi-variable and multi-objective RA problem. Therefore, three competitive schemes, levy flight, spiralized elite learning, and replacement of weak members, are embedded with traditional AoA to enhance convergence, balance between exploitation and exploration, and algorithm diversity. The simulation results depict that MAoA-based D2D RA provides the optimal RA that leads to maximum Sum Rate (SR), increased throughput, superior quality of service, and lower interference. Compared with traditional algorithms, the MAoA-based RA improves by 12.96% in the overall SR of the system.
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ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-024-05055-5