Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
A simple gradient sign algorithm for transmit antenna weight adaptation with feedback
IEEE Transactions on Signal Processing
Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels
IEEE Transactions on Signal Processing
Transceiver optimization for multiuser MIMO systems
IEEE Transactions on Signal Processing
Joint transmitter receiver diversity for efficient space division multiaccess
IEEE Transactions on Wireless Communications
Generalized multiuser orthogonal space-division multiplexing
IEEE Transactions on Wireless Communications
Capacity of a mobile multiple-antenna communication link in Rayleigh flat fading
IEEE Transactions on Information Theory
On beamforming with finite rate feedback in multiple-antenna systems
IEEE Transactions on Information Theory
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
On the capacity of MIMO broadcast channels with partial side information
IEEE Transactions on Information Theory
Transmit beamforming in multiple-antenna systems with finite rate feedback: a VQ-based approach
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
Performance of wireless CDMA with M-ary orthogonal modulation and cell site antenna arrays
IEEE Journal on Selected Areas in Communications
A stochastic MIMO radio channel model with experimental validation
IEEE Journal on Selected Areas in Communications
Downlink capacity evaluation of cellular networks with known-interference cancellation
IEEE Journal on Selected Areas in Communications
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
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In this paper, multi-user multiple input multiple output (MIMO) beamforming techniques with reduced overhead compared to hitherto known works are examined. In previous works, the subscriber station (SS) feeds back the entire channel matrix to the base station (BS) and the BS designs its zero-forcing transmit beamformer and each user's receive beamformer, and feeds forward each user its respective receive beamformer. In this paper, each SS designs its receive beamformer using only its own channel and independent of the other user's channels and feeds back only a vector - this framework is called non-collaborative. Assuming zero-forcing beamforming (ZFBF) with a single stream to each SS, we derive the optimal receive beamformer using the average SNR metric and determine the feedback vector based on this optimal receive beamformer. We show that the average receive SNR per user degrades linearly with increasing number of users assuming isotropically distributed MIMO channels and that the dominant right singular vector of the channel matrix is the optimal SS receive beamformer. This optimality holds even when the MIMO channels are correlated. Furthermore, we propose a receive beamformer design in the presence of external interference which can be caused due to aggressive time-frequency reuse in neighboring cells.