• DocumentCode
    2766646
  • Title

    Queue-Aware Power Allocation for Space-Time Block Coded MIMO Systems

  • Author

    Niyato, Dusit ; Hossain, Ekram ; Wavegedara, Kapila Chandika ; Bhargava, Vijay

  • Author_Institution
    Dept. of Electr., & Comp. Eng., Manitoba Univ., Winnipeg, Man.
  • fYear
    2007
  • fDate
    11-15 March 2007
  • Firstpage
    2200
  • Lastpage
    2204
  • Abstract
    A queue-aware power allocation scheme for multiple-output multiple-input (MIMO) system using space time block coding (STBC) is presented. In the the physical layer, along with space-time block coded MIMO, the authors consider adaptive modulation to enhance transmission rate and error performance. To improve data reliability, automatic request (ARQ) is used for retransmission of erroneous packets from the radio link level queue. The proposed power allocation scheme is designed to minimize the cost which is defined as a function of transmit power and packet dropping probability at the radio link level queue. The genetic algorithm is used to obtain the solutions for the optimal parameters of the queue-aware power allocation scheme to minimize radio resource usage while meeting the quality-of-service (QoS) requirements for data traffic. A queueing analytical model is presented to investigate the link level performances (e.g., average queue length, packet dropping probability, throughput, and average delay) under different physical layer parameter setting.
  • Keywords
    MIMO communication; block codes; genetic algorithms; quality of service; queueing theory; space-time codes; adaptive modulation; automatic request; genetic algorithm; multiple input multiple output wireless networks; quality-of-service; queueing analysis; space-time block coding; Automatic repeat request; Block codes; Cost function; Genetic algorithms; MIMO; Modulation coding; Physical layer; Power system reliability; Queueing analysis; Radio link;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE
  • Conference_Location
    Kowloon
  • ISSN
    1525-3511
  • Print_ISBN
    1-4244-0658-7
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2007.411
  • Filename
    4224656