• DocumentCode
    3510487
  • Title

    Multiple access demodulation in the lifted signal graph with spatial coupling

  • Author

    Schlegel, Christian ; Truhachev, Dmitri

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    2989
  • Lastpage
    2993
  • Abstract
    Demodulation in a random multiple access channel is considered where the signals are chosen uniformly randomly with unit energy, a model applicable to several modern transmission systems. It is shown that by lifting (replicating) the graph of this system and randomizing the graph connections, a simple iterative cancellation demodulator can be constructed which achieves the same performance as an optimal symbol-by-symbol detector of the original system. The iterative detector has a complexity that is linear in the number of signals (users), while the direct optimal approach is known to be NP-hard. However, the maximal system load of this lifted graph is limited to α <; 2:074, even for signal-to-noise ratios going to infinity - the system is interference limited. We then show that by introducing spatial coupling and anchoring of the lifted graph, this limitation can be avoided and arbitrary system loads are achievable. Our results apply to several well-documented system proposals, such as IDMA, partitioned spreading, and certain forms of MIMO communications.
  • Keywords
    MIMO communication; computational complexity; demodulation; multi-access systems; signal processing; MIMO communications; NP-hard; iterative cancellation demodulator; iterative graph-based signal processing; lifted signal graph; multiple access demodulation; optimal symbol-by-symbol detector; random multiple access channel; signal-to-noise ratios; spatial coupling; Couplings; Decoding; Detectors; Equations; Iterative decoding; Multiaccess communication; Signal to noise ratio; iterative decoding; optimal joint detection; random signaling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
  • Conference_Location
    St. Petersburg
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4577-0596-0
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2011.6034126
  • Filename
    6034126