• DocumentCode
    717617
  • Title

    Clustered Multiuser Detection Using SC-FDE Transmission with Iterative Receivers

  • Author

    Gante, Joao ; Gomes, Marco ; Dinis, Rui ; Silva, Vitor

  • Author_Institution
    Inst. de Telecomun., Portugal
  • fYear
    2015
  • fDate
    11-14 May 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Iterative block decision feedback equalization (IB-DFE) algorithms are proven to be powerful tools when detecting several uplink signals sharing the same physical channel. However, those algorithms may face some constraints -- the IB-DFE has some difficulty picking certain signals up if they are considerably weaker than the rest and the computational effort grows exponentially with the number of signals to be detected. In this paper we present a clustered multiuser detection scheme, based on an IB-DFE algorithm. It is demonstrated that if the mobile terminals (MTs) have enough power and are distributed in clusters, with considerable power difference between them, it is possible to successfully detect them all while containing the computational complexity. Our scheme also requires fewer receiving antennas than the original IB-DFE implementations and, with the aid of low-density parity- check (LDPC) and turbo- equalization, it is able to reach high performance levels with low power requirements.
  • Keywords
    computational complexity; decision feedback equalisers; multiuser detection; parity check codes; receiving antennas; LDPC; SC-FDE transmission; clustered multiuser detection; computational complexity; iterative block decision feedback equalization algorithms; iterative receivers; low-density parity-check; mobile terminals; receiving antennas; turbo-equalization; Bit error rate; Estimation; Frequency-domain analysis; Interference; Noise; Receiving antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
  • Conference_Location
    Glasgow
  • Type

    conf

  • DOI
    10.1109/VTCSpring.2015.7145747
  • Filename
    7145747