%0 Conference Proceedings %T Large-Scale MIMO Receiver Based on Finite-Alphabet Sparse Detection and Concave-Convex Optimization %+ Ecole Militaire Polytechnique [Alger] (EMP) %+ Lab-STICC_IMTA_CACS_COM %+ Département Signal et Communications (IMT Atlantique - SC) %A Meslem, Yacine %A Aissa El Bey, Abdeldjalil %A Djeddou, Mustapha %< avec comité de lecture %B IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) %C Atlanta, United States %8 2020-05-26 %D 2020 %R 10.1109/SPAWC48557.2020.9154216 %K Large-scale MIMO %K Concave-convex optimiza- tion %K Finite-alphabet signals %K Sparse representation %Z Engineering Sciences [physics]/Signal and Image processingConference papers %X In this paper, we propose a new receiver for detecting signals in large-scale Spatially Multiplexed (SP) Multiple-Input-Multiple-Output (MIMO) systems that may have fewer receive antennas than transmitted symbols (overloaded case). Relying on the idea of Finite-Alphabet Sparse (FAS) detection, we formulate the Maximum Likelihood (ML) criterion as a Difference-of-Convex (DC) programming problem that can be simply and efficiently solved using the Concave-Convex Procedure (CCP) technique. Since, the considered problem is non-convex, we theoretically discuss the behavior of the derived algorithm. Numerical experiments confirm the superiority of the proposed detection scheme, when compared with recent detection methods based on convex optimization, in a variety of large-scale MIMO transmission scenarios including the overloaded case. %G English %2 https://imt-atlantique.hal.science/hal-02861823/document %2 https://imt-atlantique.hal.science/hal-02861823/file/1570628291-6.pdf %L hal-02861823 %U https://imt-atlantique.hal.science/hal-02861823 %~ UNIV-BREST %~ INSTITUT-TELECOM %~ CNRS %~ UNIV-UBS %~ ENIB %~ LAB-STICC %~ LAB-STICC_IMTA_CACS_COM %~ IMTA_SC %~ LAB-STICC_IMTA %~ IMT-ATLANTIQUE %~ PRACOM %~ INSTITUTS-TELECOM %~ IMTA_MEE