Multi-user MIMO broadcast systems with imperfect feedbacks
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
An overview of medium access control protocols with multi-antennas for wireless ad-hoc networks
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
Maximum sum-rate of MIMO multiuser scheduling with linear receivers
IEEE Transactions on Communications
Cross-layer analysis of downlink V-BLAST MIMO transmission exploiting multiuser diversity
IEEE Transactions on Wireless Communications
A scheduling scheme based on the SLNR criterion
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
An accurate expression of capacity for multi-user MIMO systems with zero-forcing receiver
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Scheduling for multiuser MIMO broadcast systems: transmit or receive beamforming?
IEEE Transactions on Wireless Communications
EURASIP Journal on Wireless Communications and Networking
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Despite its low-complexity, the zero-forcing receiver is known to suffer from noise enhancement to restore the spatially multiplexed data in a single-user MI MO system. Nevertheless, in the multiuser system, the poor-channel avoidance property of the scheduling technique provides a natural way to overcome the drawback of noise enhancement (Heath et al., 2001). In this paper, we present an analytical framework to evaluate the performance of the zero-forcing receiver operating in the multiuser MIMO system with user scheduling. Using the order statistics technique, we derive closed-form expressions for the sum-rate capacity of the multiuser MIMO system that employs the simple spatial multiplexing at the transmitter and zero-forcing processing at the receiver with a number of scheduling algorithms. These closed-form expressions hold for an arbitrary finite number of users and facilitate efficient numerical evaluations for cases of practical interest. In addition, the tractable analysis provides insight into how the scheduling technique affects the performance of the multiuser MIMO system under scalar feedback and vector feedback. The results are also extended to the case of heterogonous users with unequal average SNR.