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The increasing scale of Multiple-Input Multiple-Output (MIMO) topologies employed in forthcoming wireless communications standards presents a substantial implementation challenge to designers of embedded baseband signal processing architectures for MIMO transceivers. Specifically the increased scale of such systems has a substantial impact on the perfor-mance/cost balance of detection algorithms for...
In this letter, a low-complexity detector, called ordered nearest neighbor search (NNS) minimum mean square error (MMSE) detector, is proposed for the spatial modulation multiple-access channel with a large number of receive antennas. In the proposed detector, the antenna index is first determined based on the channel direction information, and then, the modulation signal is recovered by the MMSE...
In this paper, we propose to decompose the received signal into its projection on the channel vector and the corresponding perpendicular in the spatial modulation (SM) detection. Based on this decomposition, the optimal joint antenna and symbol detection can be done separately with reduced complexity and no performance loss. Moreover, the constellation symmetry and a lower bound approximation are...
In this work heuristic ant colony optimization (ACO) procedure is deployed in conjunction with lattice reduction (LR) technique aiming to improve the performance-complexity tradeoff of detection schemes in MIMO communication. A hybrid LR-ACO MIMO detector using the linear minimum mean squared error (MMSE) criterion as initial guess is proposed and compared with other traditional (non)linear MIMO detector,...
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