• DocumentCode
    2194
  • Title

    Binary Power Allocation in Symmetric Wyner-Type Interference Networks

  • Author

    Badruddin, Nasreen ; Evans, Joseph ; Hanly, Stephen V.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • Volume
    13
  • Issue
    12
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    6903
  • Lastpage
    6914
  • Abstract
    The Wyner interference network is a popular model used in research on cellular networks due to its simplicity and analytical tractability. In this paper, the optimal power allocation strategies in symmetric one- and two-sided Wyner models are investigated. We determine a sufficient condition for binary power control (BPC) to be optimal that can be applied to the one-sided symmetric model. We consider binary power schemes for the symmetric two-sided Wyner network. Using a method of grouping links and performing a piecewise comparison of the group rates, we are able to determine the optimal power policy that maximizes the network sum rate. The result of the optimization can be expressed as follows for both types of networks: When the interfering channel gain √ϵ is small, it is optimal (in the class of binary schemes) to have all links on; otherwise, alternate links are switched off to remove interference. We characterize the critical values of ϵ where the transitions occur.
  • Keywords
    cellular radio; optimisation; radiofrequency interference; telecommunication control; telecommunication links; BPC; binary power allocation; binary power control; cellular networks; symmetric Wyner-type interference networks; Cellular networks; Interference; Optimization; Power control; Resource management; Switches; Wireless communication; Wireless networks; multiple-access interference; power control;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2014.2343619
  • Filename
    6867378