• DocumentCode
    3064425
  • Title

    Diversity-multiplexing-delay tradeoffs in MIMO multihop networks with ARQ

  • Author

    Xie, Yao ; Goldsmith, Andrea

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    2208
  • Lastpage
    2212
  • Abstract
    The tradeoff between diversity, multiplexing, and delay in multihop MIMO relay networks with ARQ is studied, where the random delay is caused by queueing and ARQ retransmission. This leads to an optimal ARQ allocation problem with a per-hop delay or end-to-end delay constraint. The optimal ARQ allocation has to trade off between the ARQ error that the receiver fails to decode in the allocated maximum ARQ rounds and the packet loss due to queueing delay. These two probability of errors are characterized using the diversity-multiplexing-delay tradeoff (DMDT) (without queueing) and the tail probability of random delay derived using large deviation techniques, respectively. Then the optimal ARQ allocation problem can be formulated as a convex optimization problem. We show that the optimal ARQ allocation should balance each link performance as well as avoid significant queue delay, which is also demonstrated by numerical examples.
  • Keywords
    MIMO communication; automatic repeat request; convex programming; delays; diversity reception; error statistics; multiplexing; queueing theory; ARQ error; ARQ retransmission; automatic repeat request; convex optimization; deviation technique; diversity-multiplexing-delay tradeoff; end-to-end delay constraint; error probability; multihop MIMO relay networks; optimal ARQ allocation; packet loss; queueing delay; random delay; receiver; Automatic repeat request; Decoding; Delay; Information analysis; MIMO; Protocols; Relays; Spread spectrum communication; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513476
  • Filename
    5513476