Fast transfer of channel state information in wireless systems
IEEE Transactions on Signal Processing
Capacity of a mobile multiple-antenna communication link in Rayleigh flat fading
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality
IEEE Transactions on Information Theory
Sum capacity of Gaussian vector broadcast channels
IEEE Transactions on Information Theory
On the capacity of MIMO broadcast channels with partial side information
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
Transmission strategies and sum rate maximization in multi-user TDD systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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Simultaneous transmission of multiple data streams from a multiple antenna base station (BS) to multiple single antenna users gives significant gain in spectral efficiency as compared to when a single such user is being served. This simultaneous transmission to multiple users is realizable only if BS knows the forward channels linking its transmitting antennas to these users which requires channel feedback from these users. This feedback overhead could be prohibitively large especially in large user systems, limiting the multi-user transmission gains. Exploiting the channel reciprocity in a time-division duplexed (TDD) broadcast channel, we give a simple transmission strategy, where users feedback independent of their channel realizations. We analyze the sum rate of this multi-user system when the channel acquisition load is completely accounted for. We derive a novel lower bound of the sum rate which allows us to optimize over how many users should inform the BS about their channel information, solving the intriguing trade-off of multi-user diversity, interference cancellation and feedback overhead.