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)


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.


Green communications Base station ON/OFF strategy Genetic algorithm Probability 



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


  1. 1.
    Mahapatra, R., Nijsure, Y., Kaddoum, G., Hassan, N.U., Yuen, C.: Energy efficiency tradeoff mechanism towards wireless green communication: a survey. IEEE Commun. Surv. Tutorials 18(1), 686–705 (2016)CrossRefGoogle Scholar
  2. 2.
    Abrol, A., Jha, R.K.: Power optimization in 5G networks: a step towards GrEEn communication. IEEE Access 4, 1355–1374 (2016)CrossRefGoogle Scholar
  3. 3.
    Gandotra, P., Jha, R.K., Jain, S.: Green communication in next generation cellular networks: a survey. IEEE Access 5, 11727–11758 (2017)CrossRefGoogle Scholar
  4. 4.
    Luo, C., Guo, S., Guo, S., Yang, L.T., Min, G., Xie, X.: Green communication in energy renewable wireless mesh networks: routing, rate control, and power allocation. IEEE Trans. Parallel Distrib. Syst. 25(12), 3211–3220 (2014)CrossRefGoogle Scholar
  5. 5.
    Son, K., Kim, H., Yi, Y., Krishnamachari, B., Wu, J., Rangan, S., Zhang, H.: Toward energy–efficient operation of base stations in cellular wireless networks. In: Green Communications: Theoretical Fundamentals, Algorithms, and Applications (2012)CrossRefGoogle Scholar
  6. 6.
    Wu, Q., Li, G.Y., Chen, W., Ng, D.W.K., Schober, R.: An overview of sustainable green 5G networks. IEEE Wirel. Commun. 24(4), 72–80 (2017)CrossRefGoogle Scholar
  7. 7.
    Hasan, Z., Boostanimehr, H., Bhargava, V.K.: Green cellular networks: a survey, some research issues and challenges. IEEE Commun. Surv. Tutor. 13(4), 524–540 (2011)CrossRefGoogle Scholar
  8. 8.
    Oh, E., Son, K., Krishnamachari, B.: Dynamic base station switching–on/off strategies for green cellular networks. IEEE Trans. Wirel. Commun. 12(5), 2126–2136 (2013)CrossRefGoogle Scholar
  9. 9.
    Zhou, S., Gong, J., Yang, Z., Niu, Z., Yang, P.: Green mobile access network with dynamic base station energy saving. In: ACM MobiCom, vol. 9, no. 262, pp. 10–12 (2009)Google Scholar
  10. 10.
    Son, K., Kim, H., Yi, Y., Krishnamachari, B.: Base station operation and user association mechanisms for energy-delay tradeoffs in green cellular networks. IEEE J. Sel. Areas Commun. 29(8), 1525–1536 (2011)CrossRefGoogle Scholar
  11. 11.
    Bousia, A., Antonopoulos, A., Alonso, L., Verikoukis, C.: “Green” distance-aware base station sleeping algorithm in LTE– Advanced. In: IEEE International Conference on Communications (ICC), pp. 1347–1351 (2012)Google Scholar
  12. 12.
    Bousia, A., Kartsakli, E., Alonso, L., Verikoukis, C.: Dynamic energy efficient distance-aware base station switch on/off scheme for LTE– Advanced. In: Global Communications Conference (GLOBECOM), pp. 1532–1537. IEEE (2012)Google Scholar
  13. 13.
    Kim, S., Choi, S., Lee, B.G.: A joint algorithm for base station operation and user association in heterogeneous networks. IEEE Commun. Lett. 17(8), 1552–1555 (2013)CrossRefGoogle Scholar
  14. 14.
    Oh, E., Krishnamachari, B.: Energy savings through dynamic base station switching in cellular wireless access networks. In: GLOBECOM, vol. 2010, pp. 1–5 (2010)Google Scholar

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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