Testbeds and Research Infrastructure: Development of Networks and Communities. 9th International ICST Conference, TridentCom 2014, Guangzhou, China, May 5-7, 2014, Revised Selected Papers

Research Article

Energy-Efficient Subcarrier Allocation for Downlink OFDMA Wireless Network

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  • @INPROCEEDINGS{10.1007/978-3-319-13326-3_24,
        author={Changxiao Qiu and Fan Wu and Yu Ye and Supeng Leng},
        title={Energy-Efficient Subcarrier Allocation for Downlink OFDMA Wireless Network},
        proceedings={Testbeds and Research Infrastructure: Development of Networks and Communities. 9th International ICST Conference, TridentCom 2014, Guangzhou, China, May 5-7, 2014, Revised Selected Papers},
        proceedings_a={TRIDENTCOM},
        year={2014},
        month={11},
        keywords={OFDMA QoS Subcarrier allocation Energy efficiency Computational complexity},
        doi={10.1007/978-3-319-13326-3_24}
    }
    
  • Changxiao Qiu
    Fan Wu
    Yu Ye
    Supeng Leng
    Year: 2014
    Energy-Efficient Subcarrier Allocation for Downlink OFDMA Wireless Network
    TRIDENTCOM
    Springer
    DOI: 10.1007/978-3-319-13326-3_24
Changxiao Qiu1, Fan Wu1, Yu Ye1, Supeng Leng1,*
  • 1: University of Electronic Science and Technology of China
*Contact email: spleng@uestc.edu.cn

Abstract

For the downlink of OFDMA network without Quality of Service (QoS) provision, it has been proved that the network energy efficiency (EE) achieved by best Channel Quality Indicator (CQI) subcarrier allocation scheme is in close proximity to the optimal EE. However, for the downlink of OFDMA network with the provision of QoS, the existing algorithms directly assigning subcarriers have the problem of high complexity. This paper proposed a new subcarrier allocation algorithm by readjusting the subcarrier allocation obtained via the allocation principle of best CQI. The proposed algorithm attempts to maximize the EE of network, and at the meanwhile reduce computational complexity. Simulation experiments indicate that the proposed algorithm significantly reduces computational complexity and achieves nearly the same EE as the optimal solution.