• DocumentCode
    1992550
  • Title

    Integrated Power Controlled Adaptive Rate Link Scheduling in Wireless Mesh Networks

  • Author

    Rubin, Izhak ; Hedayati, Kian

  • Author_Institution
    Electr. Eng. Dept., Univ. of California (UCLA), Los Angeles, CA, USA
  • fYear
    2010
  • fDate
    6-10 Dec. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, two new heuristic algorithms are developed for maximizing the network throughput in adaptive power and adaptive rate spatial-TDMA wireless networks. The underlying problem entails the optimal joint link scheduling combined with the simultaneous assignment of transmit power levels and data rates across active links. We note this problem to be NP-complete and proceed to develop and investigate two heuristic algorithms of polynomial complexity for solving the problem in a computationally effective manner. The first algorithm is based on the construction of a Power Controlled Rate adaptation Interference Graph. The desired schedule is then derived by using a greedy algorithm to construct an independence set from this graph. The second algorithm, in each time-slot, picks the transmission with highest SINR level at its intended receiver; then it iterates through the remaining transmissions and tries to fit as many simultaneous transmissions with each operating at the highest feasible data rate. Based on system analyses, we observe, for illustrative simulated networks, the performance behavior realized by the second heuristic algorithm to be generally better than that attained by using the first heuristic algorithm.
  • Keywords
    computational complexity; graph theory; greedy algorithms; power control; telecommunication control; wireless mesh networks; NP-complete; active links; adaptive rate spatial-TDMA; greedy algorithm; heuristic algorithms; optimal joint link scheduling; polynomial complexity; power controlled rate adaptation interference graph; wireless mesh networks; Algorithm design and analysis; Heuristic algorithms; Interference; Peer to peer computing; Power control; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
  • Conference_Location
    Miami, FL
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-5636-9
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2010.5683702
  • Filename
    5683702