Power allocation method based on modified social network search algorithm

With the increase of communication devices and demands, the problems of high power consumption, tight spectrum resources, and low energy efficiency in the two-layer heterogeneous network are the popular topics, which need to be solved urgently. For the purpose of solving these problems in a two-laye...

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Vydáno v:Applied intelligence (Dordrecht, Netherlands) Ročník 54; číslo 24; s. 12851 - 12884
Hlavní autoři: Gao, Hongyuan, Li, Huishuang, Lin, Yun, Ma, Jingya
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.12.2024
Springer Nature B.V
Témata:
Algorithms
Artificial Intelligence
Cluster analysis
Clustering
Computer Science
Energy efficiency
Machines
Manufacturing
Mechanical Engineering
Nonorthogonal multiple access
Power management
Processes
Search algorithms
Social networks
Spectrum allocation
Spectrum partitioning mechanism
Power allocation method
Macrocell/Femtocell two-layer heterogeneous network
Hierarchical clustering algorithm
Non-orthogonal multiple access technique
Modified social network search algorithm
ISSN:0924-669X, 1573-7497
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Shrnutí:With the increase of communication devices and demands, the problems of high power consumption, tight spectrum resources, and low energy efficiency in the two-layer heterogeneous network are the popular topics, which need to be solved urgently. For the purpose of solving these problems in a two-layer heterogeneous network consisting of femtocell base stations in randomly distributed a macrocell base station, which can also be called the Macrocell/Femtocell two-layer heterogeneous network, the hierarchical clustering algorithm is firstly used to cluster femtocell base stations in accordance with a distance threshold, the spectrum partitioning mechanism and non-orthogonal multiple access technique are combined to obtain spectrum allocation schemes for different users. Then, the modified social network search algorithm is used to simulate the power allocation problem in the two-layer heterogeneous network with system energy efficiency as the objective function. By comparing with the previous algorithms, the proposed algorithm’s superior performance is verified on the test functions. The results show that the proposed method can effectively improve spectrum utilization and reduce interference. The modified social network search algorithm is more robust and widely applicable regarding energy and computational efficiency.
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ISSN:0924-669X
1573-7497
DOI:10.1007/s10489-024-05804-4