On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Eigenvalues and Condition Numbers of Complex Random Matrices
SIAM Journal on Matrix Analysis and Applications
Complex random matrices and Rician channel capacity
Problems of Information Transmission
Complex singular wishart matrices and applications
Computers & Mathematics with Applications
IEEE Transactions on Signal Processing
A flexible downlink scheduling scheme in cellular packet data systems
IEEE Transactions on Wireless Communications
Capacity scaling in MIMO wireless systems under correlated fading
IEEE Transactions on Information Theory
Opportunistic beamforming using dumb antennas
IEEE Transactions on Information Theory
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
On the capacity of spatially correlated MIMO Rayleigh-fading channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Outage mutual information of space-time MIMO channels
IEEE Transactions on Information Theory
On the capacity of MIMO broadcast channels with partial side information
IEEE Transactions on Information Theory
CDMA/HDR: a bandwidth efficient high speed wireless data service for nomadic users
IEEE Communications Magazine
Cross-layer design for wireless networks
IEEE Communications Magazine
Optimizing MIMO antenna systems with channel covariance feedback
IEEE Journal on Selected Areas in Communications
Capacity limits of MIMO channels
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
Feedback reduction in uplink MIMO OFDM systems by chunk optimization
EURASIP Journal on Advances in Signal Processing
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In this paper, we investigate the throughput of downlink multi-user multiple-input multiple-output (MIMO) communication systems when cross-layer processing, such as rate-aware scheduling and rate feedback, is used. Specifically, we derive the probability density function of the mutual information between transmitted and received complex signals over spatially correlated Rayleigh distributed flat fading channels with complex Gaussian additive noise. Using this density, we derive the probability density function of the mutual information between basestation transmitted and best user (good channel condition) received complex signals. Then we analyze the expected throughput gains due to rate-aware scheduling and rate feedback. Numerical results show how the throughput gain varies with the finite number of transmit and receive antennas, the finite number of users and the channel spatial correlation at the receiver end (mobile unit). We also analyze the number of bits needed for rate feedback.