Abstract—We consider a multiple-input multiple-output (MIMO) multiple access channel (MAC), where the channel between each transmitter and the receiver is modeled by the double-scattering channel model. Based on novel techniques from random matrix theory, we derive deterministic approximations of the mutual information, the signal-to-noise-plus-interference-ratio (SINR) at the output of the minimum-mean-square-error (MMSE) detector and the sum-rate with MMSE detection, which are almost surely tight in the large system limit. Moreover, we derive the asymptotically optimal transmit covariance matrices. Our simulation results show that the asymptotic analysis provides very close approximations for realistic system dimensions. I
Reduced-rank MMSE receivers using asymptotic weights reduce receiver complexity while maintaining go...
In this work, we study the performance of random isometric precoders over quasi-static and correlate...
This paper investigates the spectral efficiency (SE) of multi-cell Massive Multi-Input Multi-Output ...
Abstract—We consider a multiple-input multiple-output (MIMO) multiple access channel (MAC), where th...
We investigate the sum capacity of a fading multiple-input multiple-output (MIMO) multiple access ch...
We investigate the sum capacity and present low complexity transceiver designs for the multiple-inpu...
We investigate the sum capacity of the uplink multiuser multiple-input multiple-output (MIMO)multipl...
We study a multiple-input multiple-output (MIMO) multiple access channel (MAC) from several multi-an...
In this article, we introduce iterative deterministic equivalents as a novel technique for the perfo...
Abstract—We consider the asymptotic performance of a class of linear receivers in multiple-input mul...
International audienceThis paper studies the ergodic sum rate performance of regularized zero-forcin...
International audienceThis article studies the joint distribution of the signal-to-interference-plus...
International audienceWe consider the asymptotic performance of a class of linear receivers in multi...
Abstract—We consider a certain class of large random ma-trices, composed of independent column vecto...
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Reduced-rank MMSE receivers using asymptotic weights reduce receiver complexity while maintaining go...
In this work, we study the performance of random isometric precoders over quasi-static and correlate...
This paper investigates the spectral efficiency (SE) of multi-cell Massive Multi-Input Multi-Output ...
Abstract—We consider a multiple-input multiple-output (MIMO) multiple access channel (MAC), where th...
We investigate the sum capacity of a fading multiple-input multiple-output (MIMO) multiple access ch...
We investigate the sum capacity and present low complexity transceiver designs for the multiple-inpu...
We investigate the sum capacity of the uplink multiuser multiple-input multiple-output (MIMO)multipl...
We study a multiple-input multiple-output (MIMO) multiple access channel (MAC) from several multi-an...
In this article, we introduce iterative deterministic equivalents as a novel technique for the perfo...
Abstract—We consider the asymptotic performance of a class of linear receivers in multiple-input mul...
International audienceThis paper studies the ergodic sum rate performance of regularized zero-forcin...
International audienceThis article studies the joint distribution of the signal-to-interference-plus...
International audienceWe consider the asymptotic performance of a class of linear receivers in multi...
Abstract—We consider a certain class of large random ma-trices, composed of independent column vecto...
This paper investigates the symbol error rate (SER) performance of the multiple-input multiple-outpu...
Reduced-rank MMSE receivers using asymptotic weights reduce receiver complexity while maintaining go...
In this work, we study the performance of random isometric precoders over quasi-static and correlate...
This paper investigates the spectral efficiency (SE) of multi-cell Massive Multi-Input Multi-Output ...