• DocumentCode
    3574154
  • Title

    Poster paper: A green transmission power control scheme for cellular networks in smart grid

  • Author

    Ke Zhang ; Yuming Mao ; Supeng Leng

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • Firstpage
    638
  • Lastpage
    639
  • Abstract
    This paper proposed a green transmission power control scheme for cellular networks in the smart grid environment where several electricity retailers offer different prices to the BSs. The power allocation of each BS is formulated as a non-cooperative game. In a dynamic environment, the competition behaviors of BSs are modeled as a stochastic learning process and a conjecture based multi-agent reinforcement learning algorithm is proposed. Numerical results show that our proposed scheme can significantly improve the network´s energy efficiency and reduce operational expenditure.
  • Keywords
    cellular radio; environmental factors; learning (artificial intelligence); multi-agent systems; power control; power engineering computing; smart power grids; stochastic processes; telecommunication control; telecommunication power supplies; cellular networks; conjecture based multi-agent reinforcement learning algorithm; green transmission power control scheme; network energy efficiency; noncooperative game; power allocation; smart grid; stochastic learning process; Educational institutions; Electricity; Games; Green products; Mobile communication; Resource management; Smart grids; Cellular Network; Green; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China (CHINACOM), 2014 9th International Conference on
  • Type

    conf

  • DOI
    10.1109/CHINACOM.2014.7054375
  • Filename
    7054375