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For multiple-input/multiple-output (MIMO)-based wireless communications systems with precoding, we evaluate the symbol-detection performance for Rician fading. We first consider, as in conventional evaluation approaches, fixed channel statistics, i.e., typical settings for the azimuth spread (AS), Rician K-factor, and deterministic channel matrix component Hd with set rank. Then, to predict performance...
Experimental modeling of wireless fading channels performed by the WINNER II project has been shown to fit a Rician rather than Rayleigh distribution, the latter being assumed in many analytical studies of multiple-input–multiple-output (MIMO) communication systems. Unfortunately, a Rician MIMO channel matrix has a nonzero mean (i.e., specular component) that yields, for the matrix product that determines...
In recent years, there have been significant breakthroughs in wireless communication systems design based on the multiple-input multiple-output (MIMO) concept. Exploiting the channel state information at the transmitter (CSIT) can improve the link performance. Thus, MIMO precoding has been an active research area for wireless communications. By specifying a precoding matrix with full CSIT, one can...
Assuming perfect channel state information (CSI), linear precoding/decoding for multiple-input multiple-output (MIMO) systems has been considered in the literature under various performance criteria, such as minimum total mean-square error (MSE), maximum mutual information, and minimum average bit error rate (BER). It has been shown that these criteria belong to a set of reasonable Schur-concave or...
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