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MMSE reception and successive interference cancellation for MIMO systems with high spectral efficiency

Published: 01 May 2005 Publication History

Abstract

In this paper, we investigate the performance in terms of symbol error probability (SEP) of multiple-input-multiple-output (MIMO) systems with high spectral efficiency. In particular, we consider the coherent detection of M-PSK signals in a flat Rayleigh-fading environment. We focus on spectrally efficient MIMO systems where, after serial-to-parallel conversion, several substreams of symbols are simultaneously transmitted by using an antenna array, thereby increasing the spectral efficiency. The reception is based on linear minimum mean-square-error (MMSE) combining, eventually followed by successive interference cancellation. Exact and approximate expressions are derived for an arbitrary number of transmitting and receiving antenna elements. Simulation results confirm the validity of our analytical methodology.

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  • (2021)Asynchronous Polar-Coded MIMO2021 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC49053.2021.9417545(1-6)Online publication date: 29-Mar-2021
  • (2021)A layer-wise distribution analysis of the WLMMSE-SIC MIMO receiver for rectilinear or quasi-rectilinear signalsSignal Processing10.1016/j.sigpro.2021.108230189:COnline publication date: 1-Dec-2021
  • (2019)Performance-Complexity Tradeoffs of MIMO-NOMA Receivers Towards Green Wireless Networks2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)10.1109/PIMRC.2019.8904383(1-6)Online publication date: 8-Sep-2019
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  1. MMSE reception and successive interference cancellation for MIMO systems with high spectral efficiency

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    cover image IEEE Transactions on Wireless Communications
    IEEE Transactions on Wireless Communications  Volume 4, Issue 3
    May 2005
    450 pages

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    IEEE Press

    Publication History

    Published: 01 May 2005

    Author Tags

    1. Error propagation
    2. Rayleigh channels
    3. minimum mean-square-error (MMSE) methods
    4. multiple-input-multiple-output (MIMO) systems
    5. successive interference cancellation

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    Cited By

    View all
    • (2021)Asynchronous Polar-Coded MIMO2021 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC49053.2021.9417545(1-6)Online publication date: 29-Mar-2021
    • (2021)A layer-wise distribution analysis of the WLMMSE-SIC MIMO receiver for rectilinear or quasi-rectilinear signalsSignal Processing10.1016/j.sigpro.2021.108230189:COnline publication date: 1-Dec-2021
    • (2019)Performance-Complexity Tradeoffs of MIMO-NOMA Receivers Towards Green Wireless Networks2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)10.1109/PIMRC.2019.8904383(1-6)Online publication date: 8-Sep-2019
    • (2019)Resource allocation in multicell systems with coordinated beamforming and partial data cooperationWireless Networks10.1007/s11276-017-1627-625:4(1749-1762)Online publication date: 1-May-2019
    • (2018)Closed-Form Word Error Rate Analysis for Successive Interference Cancellation DecodersIEEE Transactions on Wireless Communications10.1109/TWC.2018.287569917:12(8256-8267)Online publication date: 7-Dec-2018
    • (2018)On the integration of SIC and MIMO DoF for interference cancellation in wireless networksWireless Networks10.1007/s11276-017-1472-724:7(2357-2374)Online publication date: 1-Oct-2018
    • (2018)Extending the user capacity of MU-MIMO systems with low detection complexity and receive diversityWireless Networks10.1007/s11276-017-1467-424:6(2237-2249)Online publication date: 1-Aug-2018
    • (2016)Joint pre-processing co-channel interference cancellation for single user MIMOWireless Networks10.1007/s11276-015-1118-622:8(2597-2606)Online publication date: 1-Nov-2016
    • (2015)Low Complexity BICM MIMO OFDM DemodulatorIEEE Transactions on Wireless Communications10.1109/TWC.2014.235435814:1(558-569)Online publication date: 1-Jan-2015
    • (2015)Fifty Years of MIMO Detection: The Road to Large-Scale MIMOsIEEE Communications Surveys & Tutorials10.1109/COMST.2015.247524217:4(1941-1988)Online publication date: 18-Nov-2015
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