• DocumentCode
    3253639
  • Title

    Optimizing Power Allocation and Matching of Cooperative Diversity Systems

  • Author

    Mahinthan, V. ; Lin Cai ; Mark, Jon W. ; Xuemin Shen

  • Author_Institution
    Univ. of Waterloo, Waterloo
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    4213
  • Lastpage
    4218
  • Abstract
    In this paper, we study how to appropriately match users for two-user cooperative diversity systems that deploy optimal power allocation for an amplify and forward or a regenerate and forward CD scheme. Optimized power allocation strategies, which minimize the total energy consumption for the cooperating pair, are proposed for both CD schemes. A novel matching algorithm with less computational complexity than, but with performance very close to the state-of-the-art optimal maximal weighted matching algorithm is developed. Numerical results show that, with optimal power allocation, the proposed matching algorithm can achieve 9 ~ 10 dB cooperative diversity gain, which is equivalent to prolonging the cell phone battery recharge time by 10 times.
  • Keywords
    cooperative systems; diversity reception; amplify and forward scheme; optimal power allocation; regenerate and forward scheme; state-of-the-art optimal maximal weighted matching algorithm; two-user cooperative diversity systems; Bandwidth; Batteries; Communications Society; Cultural differences; Diversity methods; Energy consumption; Land mobile radio cellular systems; Physical layer; Quality of service; Relays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2007. ICC '07. IEEE International Conference on
  • Conference_Location
    Glasgow
  • Print_ISBN
    1-4244-0353-7
  • Type

    conf

  • DOI
    10.1109/ICC.2007.695
  • Filename
    4289366