• DocumentCode
    1807147
  • Title

    Maximizing network capacity of MPR-capable wireless networks

  • Author

    Peng-Jun Wan ; Al-Dhelaan, Fahad ; Xiaohua Jia ; Baowei Wang ; Guowen Xing

  • Author_Institution
    Dept. of Comput. Sci., Illinois Inst. of Technol., Chicago, IL, USA
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    1805
  • Lastpage
    1813
  • Abstract
    Multi-packet reception (MPR) technology provides a means of boosting wireless network capacity without requiring additional spectrum. It has received widespread attention over the past two decades from both industry and academic researchers. Despite the huge promise and considerable attention, provable good algorithms for maximizing network capacity in MPR-capable wireless networks are missing in the state of the art. One major technical obstacle is due to the complicated non-binary nature of the link independence; something which appears intractable with existing graph-theoretic methods. In this paper, we present practical polynomial-time approximation algorithms for variants of capacity optimization problems in MPR-capable wireless networks which achieve constant approximation bounds for the first time ever. In addition, polynomial-time approximation schemes are developed for those variants in wireless networks with constant-bounded MPR capabilities.
  • Keywords
    optimisation; polynomial approximation; radio networks; MPR-capable wireless networks; capacity optimization problems; constant approximation bounds; link independence; multi-packet reception technology; polynomial-time approximation algorithms; wireless network capacity; Algorithm design and analysis; Approximation algorithms; Approximation methods; Computers; Interference; Schedules; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications (INFOCOM), 2015 IEEE Conference on
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/INFOCOM.2015.7218562
  • Filename
    7218562