• DocumentCode
    3007506
  • Title

    Joint optimization of opportunistic relaying and power allocation in cooperative OFDM networks

  • Author

    Li, Funian ; Zhu, Guangxi ; Wang, Desheng

  • Author_Institution
    Dept. of Electron. & Eng. Inf., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    8-10 Oct. 2009
  • Firstpage
    330
  • Lastpage
    333
  • Abstract
    Cooperative OFDM transmission is an efficient solution to combat wireless channel fading and to increase system throughput in future board communication. In this paper, we consider the uplink scenario of a cellular cooperative OFDM network, in which multi-relays can forward the source´s message to base station. The uplink throughput is optimized by using decode-and-forward (DF) opportunistic relaying. We show that the problem is formulated as a mixed binary integer programming problem, which is hard to find the global optimum in terms of computational complexity. Thus we decomposed the optimization problem into two sub-problems of opportunistic relaying strategy and power allocation. First, the opportunistic relaying strategy is given by making use of the equivalent channel power gain. Second, a low-complexity power allocation algorithm is proposed. The simulation result shows that the proposed scheme can greatly improve the system throughput.
  • Keywords
    OFDM modulation; channel allocation; integer programming; wireless channels; cooperative OFDM networks; equivalent channel power gain; joint optimization; mixed binary integer programming problem; opportunistic relaying; power allocation; wireless channel fading; Base stations; Cellular networks; Computational complexity; Decoding; Fading; Linear programming; OFDM; Power system relaying; Relays; Throughput; cooperative communication; opporunistic relaying; orthogonal frequency division multiplexing; power allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. APCC 2009. 15th Asia-Pacific Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4784-8
  • Electronic_ISBN
    978-1-4244-4785-5
  • Type

    conf

  • DOI
    10.1109/APCC.2009.5375625
  • Filename
    5375625