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In a Multi-User MIMO (MU-MIMO) spatial multiplexing scheme, multiple users are scheduled in the same resource block (RB). However, due to the wide fluctuation of realistic traffic patterns, it could often occur that only a single or few users have active data that need to be sent. In 3GPP Long Term Evolution (LTE), Single-User MIMO (SU-MIMO) rank one preceding based Channel Quality Indicator (CQI)...
Multi-User (MU) Muliple Input-Multiple Output (MIMO) has become an essential technology to achieve IMT advanced requirements. Performance of limited feedback Multi-User MIMO in spatially and time correlated channels are investigated in this paper. A special attention is drawn to the case where users have the opportunity to adapt their codebooks as a function of their own channel statistics (i.e. transmit...
The impact of transmit correlation on the performance of limited feedback multi-user MIMO is investigated. Correlated fading is shown to highly influence the probability of scheduling orthogonal users and the ability to achieve small quantization errors. Correlated fading is indeed beneficial to MU- MIMO performance as it can potentially reduce the quantization error, if an appropriate codebook is...
We investigate the performance of limited feedback zero forcing beamforming-based MU-MIMO in correlated channels when users have the opportunity to adapt their codebooks as a function of their own channel statistics (CDIT). An upper bound on the rate loss is derived in terms of the amount of feedback and the statistics of the channel. In order to maintain a constant rate loss with respect to the perfect...
Zero-forcing beamforming (ZFBF) is a promising technique for multiuser MIMO systems. However, such method requires all the users to feed their channel information back to the base station (BS), so the BS can select the users and receive antennas as well as computing the transmit beamforming matrix. The quality of feedback information is crucial to the resultant system throughput. In order to reduce...
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