• DocumentCode
    2147786
  • Title

    Convex approximation algorithms for back-pressure power control of wireless multi-hop networks

  • Author

    Matskani, E. ; Sidiropoulos, N.D. ; Tassiulas, L.

  • Author_Institution
    Dept. of ECE, Tech. Univ. of Crete, Chania, Greece
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    3032
  • Lastpage
    3035
  • Abstract
    Cross-layer design and operation of wireless networks has attracted significant interest in the last decade, yet some basic problems in the area remain unsolved. In this paper, we consider the joint routing and power control problem, and specifically how to choose transmission powers at the physical layer to maximize stable end-to-end throughput at the network layer for a multi-hop wireless network. This is the back-pressure power control (BPPC) problem. Earlier work had recognized that BPPC is a non-convex problem, and suggested relatively simple suboptimal strategies. Here we show that BPPC is NP-hard. This is a negative result, which however comes with a positive flip side: drawing from related developments in the digital subscriber line (DSL) literature, we devise effective ways to approximate it. We report substantial improvements in transport capacity relative to the earlier state of art, as illustrated in pertinent simulations.
  • Keywords
    concave programming; convex programming; digital subscriber lines; power control; radio networks; telecommunication network routing; BPPC; NP hard problem; back pressure power control; convex approximation algorithm; crosslayer design; digital subscriber line; end-to-end throughput; nonconvex problem; routing problem; wireless multihop networks; Approximation algorithms; Approximation methods; DSL; Power control; Relays; Routing; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946297
  • Filename
    5946297