Uplink SDMA with limited feedback: throughput scaling
EURASIP Journal on Advances in Signal Processing
Scheduling for multiuser MIMO downlink channels with ranking-based feedback
EURASIP Journal on Advances in Signal Processing
Networked MIMO with clustered linear precoding
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Transmit precoding design for multi-antenna multicast broadcast services with limited feedback
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Sum discrete-rate maximization with rate and power control in layered space-time coding
IEEE Transactions on Communications
Multi-antenna downlink spatial division multiplexing with opportunistic feedback
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Dynamic channel feedback control for limited-feedback multi-user MIMO systems
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Event-driven optimal feedback control for multiantenna beamforming
IEEE Transactions on Signal Processing
Multiuser MIMO achievable rates with downlink training and channel state
IEEE Transactions on Information Theory
Multimode transmission in network MIMO downlink with incomplete CSI
EURASIP Journal on Advances in Signal Processing - Special issue on cooperative MIMO multicell networks
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On a multiantenna broadcast channel, simultaneous transmission to multiple users by joint beamforming and scheduling is capable of achieving high throughput, which grows double logarithmically with the number of users. The sum rate for channel state information (CSI) feedback, however, increases linearly with the number of users, reducing the effective uplink capacity. To address this problem, a novel space division multiple access (SDMA) design is proposed, where the sum feedback rate is upper bounded by a constant. This design consists of algorithms for CSI quantization, threshold-based CSI feedback, and joint beamforming and scheduling. The key feature of the proposed approach is the use of feedback thresholds to select feedback users with large channel gains and small CSI quantization errors such that the sum feedback rate constraint is satisfied. Despite this constraint, the proposed SDMA design is shown to achieve a sum capacity growth rate close to the optimal one. Moreover, the feedback overflow probability for this design is found to decrease exponentially with the difference between the allowable and the average sum feedback rates. Numerical results show that the proposed SDMA design is capable of attaining higher sum capacities than existing ones, even though the sum feedback rate is bounded.