• DocumentCode
    1912858
  • Title

    Adjustable phase shift pilots for sparse massive MIMO-OFDM channels

  • Author

    Li You ; Xiqi Gao ; Swindlehurst, A. Lee ; Wen Zhong

  • Author_Institution
    Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
  • fYear
    2015
  • fDate
    June 28 2015-July 1 2015
  • Firstpage
    206
  • Lastpage
    210
  • Abstract
    We propose adjustable phase shift pilots (APSPs) for wideband massive multiple-input multiple-output (MIMO) systems employing orthogonal frequency division multiplexing (OFDM) to reduce the pilot overhead. Based on a physically motivated channel model, we first establish a relationship between channel space-frequency correlations and the channel power angle-delay (AD) spectrum in the massive antenna array regime, which reveals the channel sparsity in massive MIMO-OFDM. With this channel model, we then investigate channel estimation (CE) for massive MIMO-OFDM with APSPs. We show that CE performance in terms of sum mean square error can be minimized if the user terminals´ channel power distributions in the AD domain are non-overlapping with proper phase shift scheduling. The Simulation results demonstrate that the proposed APSP approach can provide substantial performance gains in terms of achievable spectral efficiency over the conventional phase shift orthogonal pilot approach in typical high mobility scenarios.
  • Keywords
    MIMO communication; OFDM modulation; antenna arrays; channel estimation; mean square error methods; phase shift keying; wireless channels; AD spectrum; APSP; CE; MIMO systems; adjustable phase shift pilots; channel estimation; channel power angle delay; channel power distributions; channel space-frequency correlations; massive antenna array; phase shift scheduling; physically motivated channel model; sparse massive MIMO-OFDM channels; sum mean square error; wideband massive multiple-input multiple-output systems; Antennas; Channel estimation; Channel models; Delays; MIMO; OFDM; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
  • Conference_Location
    Stockholm
  • Type

    conf

  • DOI
    10.1109/SPAWC.2015.7227029
  • Filename
    7227029