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author:

Gao, Jincheng (Gao, Jincheng.) [1] | Zhao, Yisheng (Zhao, Yisheng.) [2] | Chen, Jiafa (Chen, Jiafa.) [3] | Chen, Zhonghui (Chen, Zhonghui.) [4]

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Abstract:

Aiming at excessive users existing in a pico base station (PBS) in the multi-layer heterogeneous networks, the resource allocation problem of maximizing the energy efficiency of the networks is investigated in this paper. By deploying a relay node with energy harvesting function, the data of some users in the PBS can be transferred to an adjacent idle PBS. The bandwidth and transmitting power of users and the relay node are both considered to formulate the resource allocation optimization problem. The objective is to maximize the energy efficiency of the whole heterogeneous networks under the constraints of the user’s minimum data rate and energy consumption. The suboptimal solution is obtained by using the particle swarm optimization (PSO) algorithm and quantum-behaved particle swarm optimization (QPSO) algorithm. Simulation results show that the adopted methods have higher energy efficiency than the conventional fixed power and bandwidth method. In addition, the time complexity of the adopted methods is relatively low. © 2021, Shanghai Jiao Tong University and Springer-Verlag GmbH Germany, part of Springer Nature.

Keyword:

Bandwidth Energy efficiency Energy harvesting Energy utilization Heterogeneous networks Network layers Particle swarm optimization (PSO) Resource allocation

Community:

  • [ 1 ] [Gao, Jincheng]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Zhao, Yisheng]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Chen, Jiafa]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Chen, Zhonghui]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China

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Source :

Journal of Shanghai Jiaotong University (Science)

ISSN: 1007-1172

Year: 2023

Issue: 6

Volume: 28

Page: 822-830

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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