Design of Linear Precoders for Correlated Sources in MIMO Multiple Access Channels

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dc.contributor.authorSUÁREZ-PASCAL, Pedro; GONZÁLEZ-COMA, José P.; FRESNEDO, Óscar, CASTEDO, Luis
dc.date.accessioned2024-01-22T08:52:00Z
dc.date.available2024-01-22T08:52:00Z
dc.date.issued2018
dc.description.abstractThis work focuses on distributed linear precod ing when users transmit correlated information over a fading Multiple-Input and Multiple-Output Multiple Access Channel. Precoders are optimized in order to minimize the sum-Mean Square Error (MSE) between the source and the estimated symbols. When sources are correlated, minimizing the sum-MSE results in a non-convex optimization problem. Precoders for an arbitrary number of users and transmit and receive antennas are thus obtained via a projected steepest-descent algorithm and a low-complexity heuristic approach. For the more restrictive case of two single-antenna users, a closed-form expression for the minimum sum-MSE precoders is derived. Moreover, for the scenario with a single receive antenna and any number of users, a solution is obtained by means of a semidefinite relaxation. Finally, we also consider precoding schemes where the precoders are decomposed into complex scalars and unit norm vectors. Simulation results show a significant improvement when source correlation is exploited at precoding, especially for low SNRs and when the number of receive antennas is lower than the number of transmitting nodes.
dc.identifier.issn0090-6778
dc.identifier.urihttp://calderon.cud.uvigo.es/handle/123456789/731
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartofseriesIEEE Transactions on Communications; 66
dc.titleDesign of Linear Precoders for Correlated Sources in MIMO Multiple Access Channels
dc.typeArticle
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