• DocumentCode
    3119107
  • Title

    Resource allocation in MIMO-based ad hoc networks

  • Author

    Wang, Peng ; Matyjas, John ; Medley, Michael

  • fYear
    2011
  • fDate
    23-25 March 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Multiple-Input Multiple-Output (MIMO) communications have shown great promise in providing high spectral efficiency for wireless ad hoc networks. In this paper we study the problem of joint routing, scheduling, power control and bit rate selection in MIMO-based ad hoc network with the goal of maximizing the system throughput that satisfies a given end-to-end traffic demand. We formulate this cross-layer optimization problem as a linear programming problem. It is well known that the scheduling problem arising in wireless network is NP-hard due to the exponential optimization space. Accommodating MIMO links in this work greatly increases the computation complexity. The cross-layer optimization problem can be solved by applying an iterative approach proposed, and the original problem is decomposed into subproblems and solve them iteratively. Numerical results are given to validate the solution.
  • Keywords
    MIMO communication; ad hoc networks; computational complexity; iterative methods; linear programming; power control; resource allocation; scheduling; telecommunication network routing; telecommunication traffic; MIMO communication; NP-hard problem; bit rate selection; computation complexity; cross-layer optimization problem; end-to-end traffic demand; exponential optimization space; iterative approach; joint routing problem; linear programming problem; multiple-input multiple-output communications; power control; resource allocation; scheduling; spectral efficiency; system throughput maximisation; wireless ad hoc networks; Ad hoc networks; Interference; MIMO; Optimal scheduling; Receivers; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems (CISS), 2011 45th Annual Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    978-1-4244-9846-8
  • Electronic_ISBN
    978-1-4244-9847-5
  • Type

    conf

  • DOI
    10.1109/CISS.2011.5766125
  • Filename
    5766125