Novel SINR-Based User Selection for an MU-MIMO System with Limited Feedback

다국어 초록 (Multilingual Abstract)

This paper presents a novel user selection method basedon the signal-to-interference-plus-noise ratio (SINR),which is approximated using limited feedback data at thebase stations (BSs) of multiple user multiple-inputmultiple-output (MU-MIMO) systems. In the proposedsystem, the codebook vector index, the quantization errorobtained from the correlation between the measuredchannel and the codebook vector, and the measured valueof the largest singular value are fed back from each user tothe BS. The proposed method not only generatesprecoding vectors that are orthogonal to the precodingvectors of the previously selected users and are highlycorrelated with the codebook vector of each user but alsoadopts the quantization error in approximating the SINR,which eventually provides a significantly more accurateSINR than the conventional SINR-based user selectiontechniques. Computer simulations show that the proposedmethod enhances the sum rate of the conventional SINRbasedmethods by at least 2.4 (2.62) bps/Hz when thenumber of transmit antennas and number of receiveantennas per user terminal is 4 and 1(2), respectively, with100 candidate users and an SNR of 30 dB.

참고문헌 (Reference)

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