• DocumentCode
    2088021
  • Title

    Optimal spectrum allocation in Gaussian interference networks

  • Author

    Shen, Hongxia ; Zhou, Hang ; Berry, Randall A. ; Honig, Michael L.

  • Author_Institution
    Dept. of EECS, Northwestern Univ., Evanston, IL
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    2142
  • Lastpage
    2146
  • Abstract
    We consider a wireless network in which multiple users share a common spectrum band, modeled as a Gaussian interference network. Our objective is to choose the transmit power spectral density of each user to maximize the sum rate, subject to individual power constraints at each transmitter. This includes frequency-orthogonal transmissions and full-spreading with power control as special cases. Assuming single-user receivers and treating interference as noise, the resulting optimization problem is non-convex. Nevertheless, for a two-user model with flat-fading we completely characterize the optimal solution. In particular, we show that the optimal power allocation consists of each user using a piecewise constant power allocation over at most 3 frequency bands, where at most one band is shared by the two users. Extensions to more than two users and a distributed algorithm to implement the optimal allocation are also presented.
  • Keywords
    Gaussian channels; channel allocation; piecewise constant techniques; Gaussian interference networks; distributed algorithm; optimal spectrum allocation; piecewise constant power allocation; Bandwidth; Distributed algorithms; Fading; Interference; Iterative algorithms; Power control; Radio spectrum management; Signal to noise ratio; Transmitters; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2008 42nd Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2940-0
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2008.5074813
  • Filename
    5074813