On the empirical distribution of eigenvalues of a class of large dimensional random matrices
Journal of Multivariate Analysis
Multiple-antenna capacity in the low-power regime
IEEE Transactions on Information Theory
MIMO channel modeling and the principle of maximum entropy
IEEE Transactions on Information Theory
Dirty-paper coding versus TDMA for MIMO Broadcast channels
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
Sum Rate Characterization of Joint Multiple Cell-Site Processing
IEEE Transactions on Information Theory
Cognitive cooperation for the downlink of frequency reuse small cells
EURASIP Journal on Advances in Signal Processing - Special issue on cooperative MIMO multicell networks
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In this paper, we study precoded MIMO based small cell networks. We derive the theoretical sum-rate capacity, when multi-antenna base stations transmit precoded information to its multiple single-antenna users in the presence of intercell interference from neighboring cells. Due to an interference limited scenario, increasing the number of antennas at the base stations does not yield necessarily a linear increase of the capacity. We assess exactly the effect of multi-cell interference on the capacity gain for a given interference level. We use recent tools from random matrix theory to obtain the ergodic sum-rate capacity, as the number of antennas at the base station, number of users grow large. Simulations confirm the theoretical claims and also indicate that in most scenarios the asymptotic derivations applied to a finite number of users give good approximations of the actual ergodic sum-rate capacity.