• DocumentCode
    2851
  • Title

    Convex optimisation-based joint channel and power allocation scheme for orthogonal frequency division multiple access networks

  • Author

    Peng Liu ; Jiandong Li ; Hongyan Li ; Yun Meng

  • Author_Institution
    State Key Lab. of ISN & Inf. Sci. Inst., Xidian Univ., Xi´an, China
  • Volume
    9
  • Issue
    1
  • fYear
    2015
  • fDate
    1 2 2015
  • Firstpage
    28
  • Lastpage
    32
  • Abstract
    This study concerns joint channel and power allocation scheme for multi-user orthogonal frequency division multiple access system. The author´s highlight is margin adaptive (MA) resource allocation problem namely minimising the total transmit power of users with rate requirement constraints. MA is generally provable NP-hard; the typical methods are either to relax and round, or to fix the transmission mode of users (e.g. modulation and coding). Differently, they reorganise MA problem with only power variables left and design a novel relaxation scheme to enable the convexity. The polynomial-time algorithm-interior-point method-is employed to solve the relaxation problem and the theoretical complexity is further presented. Simulation results demonstrate that the author´s scheme can provide high energy efficiency compared with the existing methods, 100% relative error bounds with respect to the optimum in most cases, and low computational complexity.
  • Keywords
    OFDM modulation; channel allocation; communication complexity; constraint theory; convex programming; frequency division multiple access; radio access networks; MA problem; NP-hard problem; computational complexity; convex optimisation; interior point method; joint channel and power allocation scheme; margin adaptive resource allocation problem; multiple access networks; multiuser orthogonal frequency division multiple access system; polynomial-time algorithm; power variables; rate requirement constraints; relative error bounds; relaxation scheme;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2014.0409
  • Filename
    7001293