Improved layered MIMO detection algorithm with near-optimal performance

Improved layered MIMO detection algorithm with near-optimal performance

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A new layered symbol detection algorithm for multiple-input multiple-output systems is presented. In this scheme, the layers are divided into two groups and detected differently. For the layer with the smallest post-detection signal-to-noise ratio, an exhaustive search is performed over the signal constellation; for the remaining layers the conventional iterative vertical Bell laboratories layered space–time (V-BLAST) technique is utilised. The proposed algorithm also uses a different symbol detection ordering from that recommended in the original V-BLAST algorithm. Simulation results show that the error rate performance of the proposed detection algorithm approaches closely that of an optimal maximum likelihood detector with no reduction in the symbol detection throughput, while the computational complexity is less than || times that of V-BLAST, where || is the cardinality of signal constellation .


    1. 1)
      • Wolniansky, P.W., Foschini, G.J., Golden, G.D., Valenzuela, R.A.: `V-BLAST: An architecture for realizing very high data rates over the rich scattering wireless channel', Proc. Int. Symp. Signals, Systems, and Electronics, 1998, p. 295–300
    2. 2)
      • Introduction to space-time wireless communications
    3. 3)
      • Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
    4. 4)
    5. 5)
      • Efficient maximum likelihood detector for MIMO systems with small number of streams
    6. 6)
      • Xu, W., Wang, Y., Zhou, Z., Wang, J.: `A flexible near-optimum detector for V-BLAST', IEEE Circuits and Systems Symp. on Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004, p. 681–684

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