Feedback reduction scheme for downlink multiuser diversit
IEEE Transactions on Wireless Communications
Opportunistic spectrum sharing in cognitive MIMO wireless networks
IEEE Transactions on Wireless Communications
Performance analysis of multiuser MIMO scheduling with full and limited feedback
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Multi-level threshold opportunistic transmission in MU-MIMO downlink with reduced feedback
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
Double-threshold opportunistic transmission strategy for MU-MIMO downlink
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Adaptive modulation in PU2RC systems with finite rate feedback
IEEE Transactions on Wireless Communications
Analysis of short term fairness and its impact on packet level performance
Performance Evaluation
EURASIP Journal on Wireless Communications and Networking
Statistical time-access fairness index of one-bit feedback fair scheduler
Proceedings of the 6th International Conference on Queueing Theory and Network Applications
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We consider multiuser scheduling with limited feedback of partial channel state information in MIMO broadcast channels. By using spatial multiplexing at the base station (BS) and antenna selection for each user, we propose a multiuser scheduling method that allocates independent information streams from all M transmit antennas to the M most favorable users with the highest signal-to-interference-plus-noise ratio (SINR). A close approximation of the achievable sum-rate throughput for the proposed method is obtained and shown to match the simulation results very well. Moreover, two reduced feedback scheduling approaches are proposed. In the first approach, which we shall refer to as selected feedback scheduling, the users are selected based on their SINR compared to a predesigned threshold. Only those selected users are allowed to feed back limited information to the BS. The resultant feedback load and achievable throughput are derived. It will then be demonstrated that with a proper choice of the threshold, the feedback load can be greatly reduced with a negligible performance loss. The second reduced feedback scheduling approach employs quantization for each user, in which only few bits of quantized SINR are fed back to the BS. Performance analysis will show that even with only 1-bit quantization, the proposed quantized feedback scheduling approach can exploit the multiuser diversity at the expense of slight decrease of throughput.