• DocumentCode
    2376639
  • Title

    A closed power allocation solution for outage restricted distributed MIMO multi-hop networks

  • Author

    Lang, Yidong ; Wübben, Dirk ; Bockelmann, Carsten ; Kammeyer, Karl-Dirk

  • Author_Institution
    Dept. of Commun. Eng., Bremen Univ., Bremen
  • fYear
    2008
  • fDate
    1-3 April 2008
  • Firstpage
    65
  • Lastpage
    70
  • Abstract
    Power consumption and Quality-of-Service are the critical factors when developing resource allocation strategies for wireless networks. In order to minimize total transmission power while meeting the end-to-end outage probability requirement in a distributed MIMO multi-hop network, we will formulate the power allocation task as a convex optimization problem. By using some approximations to the optimization problem, we derive a novel near-optimal power allocation solution with lower complexity for distributed MIMO multi-hop networks. For the network with a large number of relaying nodes per virtual antenna array even a simple closed-form solution can be obtained. The simulation results show that our solution achieves a near-optimal performance.
  • Keywords
    MIMO communication; antenna arrays; approximation theory; convex programming; power consumption; probability; quality of service; resource allocation; approximation theory; convex optimization problem; outage probability; outage restricted distributed MIMO multihop network; power allocation; power consumption; quality-of-service; resource allocation; virtual antenna array; wireless network; Closed-form solution; Energy consumption; Equations; MIMO; Power system relaying; Quality of service; Relays; Resource management; Spread spectrum communication; Wireless mesh networks; Power allocation; QoS; distributed MIMO; outage probability; relaying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops, 2008. WiOPT 2008. 6th International Symposium on
  • Conference_Location
    Berlin
  • Print_ISBN
    978-963-9799-18-9
  • Electronic_ISBN
    978-963-9799-18-9
  • Type

    conf

  • DOI
    10.1109/WIOPT.2008.4586040
  • Filename
    4586040