• DocumentCode
    2807336
  • Title

    Quantifying information rate losses with zero-forcing and maximum-likelihood detectors

  • Author

    Xiao, Jiaxi ; Ma, Xiaoli ; McLaughlin, Steven W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    3342
  • Lastpage
    3345
  • Abstract
    MIMO systems have caught a lot of attentions mainly because of the boost of the information rate. However, so far the existing results only consider continuous signals at the receiver side. The effect of detectors on the mutual information has not been addressed. In this paper, we study the mutual information between the transmitted discrete signal and the quantized signal given by maximum-likelihood or zero-forcing detectors over MIMO channels. To differentiate from the mutual information without quantization step, we refer the one here as post-detection mutual information (PMI). The approximations for PMI with MLD or ZFD and the closed form of the PMI with ZFD are derived. We show that the reliable data rates that can be transmitted through the MIMO channels with MLD or ZFD is actually reduced by the presence of quantization. The approximations proposed in the paper match well with the simulation results in the mid to high SNR region.
  • Keywords
    MIMO communication; maximum likelihood detection; quantisation (signal); telecommunication channels; MIMO channels; MIMO systems; information rate losses; maximum-likelihood detectors; post-detection mutual information; quantized signal; transmitted discrete signal; zero-forcing detectors; Detectors; Equalizers; Information rates; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Mutual information; Quadrature amplitude modulation; Quantization; Signal detection; MIMO channel; Post-detection mutual information; QAM constellation; maximum-likelihood detector; zero-forcing detector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496010
  • Filename
    5496010