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WANG Qiaoyu, CUI Haixia. Energy Efficiency Optimization Based on Antenna Selection in Distributed Antenna Systems[J]. Journal of South China Normal University (Natural Science Edition), 2020, 52(6): 121-127. DOI: 10.6054/j.jscnun.2020103
Citation: WANG Qiaoyu, CUI Haixia. Energy Efficiency Optimization Based on Antenna Selection in Distributed Antenna Systems[J]. Journal of South China Normal University (Natural Science Edition), 2020, 52(6): 121-127. DOI: 10.6054/j.jscnun.2020103
shu

Energy Efficiency Optimization Based on Antenna Selection in Distributed Antenna Systems

  • 1.

    School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China

  • 2.

    Shaoxing Branch of China United Network Communications Co. LTD, Shaoxing 312000, China

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  • Received Date: January 06, 2020
  • Available Online: January 04, 2021
    Graphical Abstract
    • Abstract
  • An algorithm of maximum energy efficiency optimization (max-ANPO-EE algorithm) that combines antenna selection and power allocation technology is proposed, based on a single-block model for the distributed antenna system, to solve the problem of energy consumption of the wireless communication system. The optimal energy efficiency can be achieved by choosing the antennas within a certain distance from the user, calculating the optimal transmit power of each antenna with Lagrange function and gradient and deducing the expression of the correspon-ding energy efficiency performance. The simulation results show that the max-ANPO-EE algorithm can achieve be-tter performance in a single-cell network with random distribution of users and antennas.
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    • References (20)
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