• DocumentCode
    3118813
  • Title

    Approaching capacity of large MIMO systems by non-binary LDPC codes and MMSE detection

  • Author

    Suthisopapan, Puripong ; Kasai, Kenta ; Imtawil, Virasit ; Meesomboon, Anupap

  • Author_Institution
    Dept. of Electr. Eng., Khon Kaen Univ., Khon Kaen, Thailand
  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    1712
  • Lastpage
    1716
  • Abstract
    In this paper, we have investigated the application of non-binary LDPC codes to spatial multiplexing MIMO systems with a large number of low power antennas. We demonstrate that such large MIMO systems incorporating with low-complexity MMSE detector and non-binary LDPC codes can achieve low probability of bit error at near MIMO capacity. The new proposed non-binary LDPC coded system also performs better than other coded large MIMO systems known in the present literature. For instance, non-binary LDPC coded BPSK-MIMO system with 600 transmit/receive antennas performs within 3.4 dB from the capacity while the best known turbo coded system operates about 9.4 dB away from the capacity. Based on the simulation results provided in this paper, the proposed non-binary LDPC coded large MIMO system is capable of supporting ultra high spectral efficiency at low bit error rate.
  • Keywords
    MIMO communication; error statistics; least mean squares methods; parity check codes; phase shift keying; receiving antennas; space division multiplexing; transmitting antennas; turbo codes; MIMO capacity; MIMO systems; MMSE detection; MMSE detector; bit error probability; bit error rate; nonbinary LDPC coded BPSK-MIMO system; spatial multiplexing MIMO systems; spectral efficiency; transmit-receive antennas; turbo coded system; Complexity theory; Decoding; Detectors; MIMO; Parity check codes; Receiving antennas; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4673-2580-6
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2012.6283570
  • Filename
    6283570