• DocumentCode
    266697
  • Title

    Joint downlink and uplink resource allocation for energy-efficient carrier aggregation

  • Author

    Guanding Yu ; Qimei Chen ; Rui Yin ; Huazi Zhang ; Li, Geoffrey Ye

  • Author_Institution
    Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2014
  • fDate
    8-12 Dec. 2014
  • Firstpage
    4209
  • Lastpage
    4214
  • Abstract
    In this paper, we propose a novel energy-efficient resource allocation method to simultaneously improve both downlink and uplink energy efficiency (EE) for time division duplex (TDD) systems with carrier aggregation (CA). We aim at EE tradeoff between downlink and uplink by optimizing the power and bandwidth allocation on each carrier component (CC) for each user. The objective function is a sum of several fractional functions, therefore, a novel nonlinear sum-of-ratios programming technique is used to solve it. We first transform the problem into an equivalent and better tractable one and then propose an iterative algorithm to find the global optimum solution. Numerical results show that our method can converge with an acceptable number of iterations and achieve flexible EE tradeoff between downlink and uplink.
  • Keywords
    energy conservation; iterative methods; resource allocation; time division multiplexing; TDD systems; bandwidth allocation; carrier aggregation; carrier component; energy efficiency; energy-efficient carrier aggregation; energy-efficient resource allocation method; fractional functions; global optimum solution; iterative algorithm; joint downlink-uplink resource allocation; nonlinear sum-of-ratios programming technique; time division duplex systems; Bandwidth; Base stations; Downlink; Optimization; Power demand; Resource management; Uplink;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2014 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2014.7037468
  • Filename
    7037468