• DocumentCode
    2136797
  • Title

    Optimal total-downlink-transmitting-power and subchannel allocation for green cellular networks

  • Author

    Guo, Limei ; Wu, Hsiao-Chun ; Wu, Yiyan ; Liu, Xian

  • Author_Institution
    School of Information Science and Engineering, Central South University, China
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    1471
  • Lastpage
    1476
  • Abstract
    Femtocells can be employed as the low-power “green” wireless-access points to extend the macrocell network coverage and enhance the quality-of-service inside homes. In this paper, we focus on the joint subchannel allocation and transmitting-power control for femtocells during the downlink transmissions. Our objective is to minimize the total transmitting power across femtocell access points (FAPs) to facilitate “green” mobile communications. We would like to minimize the following criteria: (1) each user´s received signal-to-interference-plus-noise ratio (SINR) per subchannel and (2) the number of subchannels each femtocell user requires to maintain a reliable quality-ofservice (QoS). Meanwhile, the interference of the users in the underlying femtocells to users in other macrocells should also be restricted. Thus, a new pertinent optimization problem is formulated as a mixed integer nonlinear program (MINLP), which is very complicated to solve in practice. In our work, a reformulation-linearization technique (RLT) based on a branchand-bound framework is invoked to simplify the aforementioned MINLP. Finally, simulation results are demonstrated for the effectiveness of our proposed new scheme.
  • Keywords
    Downlink; Femtocells; Interference; Macrocell networks; Quality of service; Resource management; Signal to noise ratio; Femtocells; mixed integer nonlinear program (MINLP); reformulationlinearization technique (RLT); resource allocation; subchannel reuse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7248531
  • Filename
    7248531