• DocumentCode
    3059223
  • Title

    Analysis of the benefits of Superposition Coding in random wireless networks

  • Author

    Vanka, Sundaram ; Haenggi, Martin

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    1708
  • Lastpage
    1712
  • Abstract
    Network-wide adoption of a multipacket transmission scheme such as Superposition Coding (SC) for local “one-to-many” communication results in mutually interfering “broadcast” clusters. We analyze the benefits of SC and traditional Frequency Division (FD) with this interference via a utility function that measures the rate of information transfer per unit area. In particular, we study transmitters forming a Poisson point process and using ALOHA for medium access. For a fixed bandwidth allocation, FD allows spatial reuse to be independently optimized for each frequency band. On the other hand, with SC for a fixed power allocation, the optimal spatial reuse depends on the relative contribution of each link to the utility function. Since optimal spatial reuse is a function of the network geometry, the gains provided by SC depend on the geometry of the receiver node placement.
  • Keywords
    access protocols; bandwidth allocation; encoding; radio networks; ALOHA; Poisson point process; bandwidth allocation; broadcast clusters; frequency division; local one-to-many communication; medium access; multipacket transmission scheme; network geometry; network-wide adoption; optimal spatial reuse; power allocation; random wireless networks; receiver node placement; superposition coding; utility function; Area measurement; Channel allocation; Frequency conversion; Frequency measurement; Geometry; Information analysis; Interference; Radio spectrum management; Transmitters; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513242
  • Filename
    5513242