• DocumentCode
    717669
  • Title

    Energy-Efficient Proportional Resource Allocation in Uplink OFDMA Systems

  • Author

    Lan Peng ; Saidan Gong ; Lilin Dan ; Yue Xiao

  • Author_Institution
    Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2015
  • fDate
    11-14 May 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Energy efficiency is of high attention these days due to the development of green communications. Previous resource allocation algorithms in orthogonal frequency division multiple access (OFDMA) mainly focused on maximizing the energy efficiency (EE) of all the users and cannot ensure fairness in advance. To strike a balance between EE and user fairness, this paper proposes an energy-efficient proportional resource allocation algorithm. During subcarriers allocation, the priority of users is adaptively determined by both overall EE and the ratio of users´ EE to proportionality. Then a low-complexity power allocation algorithm is extended to uplink OFDMA by searching the water level with constraints on maximum power and minimum rate requirements of each user. Simulation results show that the proposed schemes achieve a substantially proportional fair on EE among users as well as a relatively high over EE.
  • Keywords
    OFDM modulation; energy conservation; frequency division multiple access; resource allocation; EE; energy-efficient proportional resource allocation; green communication; low-complexity power allocation algorithm; orthogonal frequency division multiple access; subcarrier allocation; uplink OFDMA system; user fairness; water level; Downlink; OFDM; Resource management; Simulation; Throughput; Uplink; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
  • Conference_Location
    Glasgow
  • Type

    conf

  • DOI
    10.1109/VTCSpring.2015.7145817
  • Filename
    7145817