• DocumentCode
    1335518
  • Title

    Optimally Efficient Max-Log APP Demodulation in MIMO Systems

  • Author

    Prasad, Narayan ; Kalbat, Khalid Y. ; Wang, Xiaodong

  • Author_Institution
    Mobile Commun. & Networking Res., NEC Labs. America, Princeton, NJ, USA
  • Volume
    5
  • Issue
    8
  • fYear
    2011
  • Firstpage
    1400
  • Lastpage
    1414
  • Abstract
    In this paper, we consider the design of multi-stream demodulators for multiple-input multiple-output (MIMO) systems. Our proposed MIMO demodulator is based on the stack tree-search strategy and provides soft-outputs in the form of exact max-log log-likelihood ratios (max-log LLRs). We prove that our proposed demodulator is optimally efficient in that it visits the least number of nodes among all optimal demodulators in a class of tree-search-based demodulators. We conduct a comprehensive complexity analysis of such optimally efficient demodulators. We also identify key parameters associated with our proposed demodulator that can be controlled to realize near max-log performance with substantially reduced complexity, as demonstrated via simulations.
  • Keywords
    MIMO communication; demodulation; probability; tree searching; MIMO demodulator; MIMO system; a posteriori probability; comprehensive complexity analysis; max-log LLR; max-log log-likelihood ratio; multiple-input multiple-output sys tem; multistream demodulator; optimal efficient demodulator; optimally efficient max-log APP demodulation; tree-search-based demodulator; Complexity theory; Decision trees; Demodulation; Estimation; MIMO; Demodulator; log-likelihood ratio (LLR); max-log approximation; multiple-input multiple-output (MIMO); stack algorithm;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Signal Processing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1932-4553
  • Type

    jour

  • DOI
    10.1109/JSTSP.2011.2169935
  • Filename
    6030908