• DocumentCode
    247383
  • Title

    Optimizing radio resources for heterogeneous QoS-aware OFDMA networks using semi-smart antennas

  • Author

    Aini Li ; Yue Liu ; Cuthbert, Laurie ; Yue Gao ; Yapeng Wang

  • Author_Institution
    Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
  • fYear
    2014
  • fDate
    19-21 Nov. 2014
  • Firstpage
    112
  • Lastpage
    116
  • Abstract
    The need to consider the Quality of Service (QoS) requirements of individual users and the business strategies of different operators is gaining widespread acceptance in resource allocation. OFDMA is a suitable technology for delivering very high data rate services because of its inherent ability to remove intra-cell interference. However, cell-edge users will experience high interference from neighboring cells. This paper proposes a novel radio resource management scheme in multi-cell OFDMA spectrum sharing networks to achieve the business and QoS objectives. Semi-smart antennas are employed to mitigate the co-channel interference, especially for cell-edge users, and to improve energy utilization for the overall networks. A system level simulation is implemented and the results show the proposed scheme improves the qualified user number in different load networks within a satisfactory system throughput.
  • Keywords
    OFDM modulation; adaptive antenna arrays; cochannel interference; frequency division multiple access; quality of service; radio spectrum management; resource allocation; QoS-aware OFDMA networks; cell-edge users; cochannel interference; intracell interference; multicell OFDMA spectrum sharing networks; quality of service; radio resource management scheme; resource allocation; semi-smart antennas; Adaptive arrays; Genetic algorithms; Optimization; Quality of service; Resource management; Throughput; OFDMA; QoS business strategies; resource management; semi-smart antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems (ICCS), 2014 IEEE International Conference on
  • Conference_Location
    Macau
  • Type

    conf

  • DOI
    10.1109/ICCS.2014.7024776
  • Filename
    7024776