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Genetic Algorithm for Base Station ON/OFF Optimization with Fast Coverage Estimation and Probability Scaling for Green Communications

  • Yebing RenEmail author
  • Wei Liu
  • Jiangbo Dong
  • Haobin Wang
  • Yaxi Liu
  • Huangfu Wei
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 550)

Abstract

Minimizing the power consumption while maximizing the quality of service has become a mainstream problem in green communications. The existing approaches of network configurations often ignore the computation complexity caused by the large number of user terminals. Our contributions mainly lie in two folds. We formulate an optimization problem to maximize the user terminal coverage ratio with a given number of activated base stations. We propose a novel genetic algorithm to optimize the ON/OFF status of base stations with fast coverage estimation, in which the scaling and selection operators are carefully designed to take the probability distribution of the estimated coverage ratio into account. Experiments have been conducted to prove the proposed algorithm for the network configuration for green communication.

Keywords

Green communications Base station ON/OFF strategy Genetic algorithm Probability 

Notes

Acknowledgement

This research is funded by the Joint Foundation of MoE (Ministry of Education) and China Mobile Group (No. MCM20160103).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Yebing Ren
    • 1
    • 2
    Email author
  • Wei Liu
    • 1
  • Jiangbo Dong
    • 1
  • Haobin Wang
    • 2
    • 3
  • Yaxi Liu
    • 3
  • Huangfu Wei
    • 2
    • 3
  1. 1.China Mobile Group Design Institute Co., Ltd.BeijingChina
  2. 2.Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous ServicesBeijingChina
  3. 3.School of Computer and Communication EngineeringUniversity of Science and Technology Beijing (USTB)BeijingChina

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