• DocumentCode
    2049760
  • Title

    Transmission power optimazation in two-way tranmission aware relay-aided cellular networks

  • Author

    Guanyao Du ; Ke Xiong ; Dandan Li ; Yu Zhang ; Zhengding Qiu

  • Author_Institution
    Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2011
  • fDate
    27-30 Nov. 2011
  • Firstpage
    90
  • Lastpage
    94
  • Abstract
    Nowadays, more and more applications are expected to be employed on energy-limited mobile terminals (MTs), with the rapid growth of embedded platforms´ computational abilities and mobile subscribes´ requirements. Thus, how to save the power consumption for the MT is becoming more and more important. To this end, deploying relay stations (RSs) in cellular networks has been considered as one of the most effective techniques. In this work, we investigate how to optimize MT´s transmission power in cellular networks, where two-way transmission are considered and RSs´ locations, MT´s path selections and bandwidth resources allocation are jointly optimized using genetic algorithm (GA). Numerical results show that MT´s transmission power is significantly reduced through the optimization of our method. Furthermore, we also investigate the influences of RS´s coverage on MT´s transmission power, and the numerical results show that the best RS´s covering radius should be 50%~70% of the cell radius.
  • Keywords
    bandwidth allocation; cellular radio; genetic algorithms; resource allocation; GA; RS; bandwidth resource allocation; embedded platform computational ability; energy-limited MT; energy-limited mobile terminal; genetic algorithm; mobile subscribe requirement; power consumption; relay station; transmission power optimization; two-way tranmission aware relay-aided cellular network; energy efficinecy; genetic algorithm (GA) optimization; relay station´s coverage; relay-assisted cellular network; two-way transmission;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Wireless, Mobile & Multimedia Networks (ICWMMN 2011), 4th IET International Conference on
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-507-2
  • Type

    conf

  • DOI
    10.1049/cp.2011.0965
  • Filename
    6197832