This study presents the analysis of a constellation partition (CP) algorithm for multiple-input multiple-outputmaximum-likelihood detection (MIMO -MLD) systems. The authors consider an N t by N r MIMO system, where MLD algorithm is employed at the receiver side for MIMO signal detection. The authors show that for the case of orthogonal space-time block codes and MIMO beamforming (MIMO-BF) systems, the proposed CP algorithm achieves the same errorrate performance as the optimum MLD algorithm while cutting back significantly on the complexity of MIMO -MLD scheme. Thus complexity reduction is not achieved at the expense of the optimum MLD performance in these cases, unlike the existing simplified MLD schemes in the literature. For the case of MIMO-multiplexing system, however, it is observed that the complexity reduction is achieved at the expense of the optimum MLD performance, similar to the existing simplified MLD schemes. Thus the proposed algorithm is especially attractive in real-time implementation of space-time block code and MIMO-BF systems.

This paper presents the analysis of a constellation-partition (CP) algorithm for multiple input multiple output-maximum likelihood detection (MIMO-MLD) system. We consider an N t by N r MIMO system where MLD algorithm is employed at the receiver side for MIMO signal detection. We show that the proposed CP algorithm achieves same error rate performance as the optimum MLD algorithm while cutting back significantly on the complexity of MIMO-MLD system. Thus the proposed algorithm is very attractive in real-time implementation of MIMO-MLD systems.

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Multiple-antenna systems, also known as multiple input multiple-output (MIMO) radio, can improve the capacity and reliability of radio communication systems. In this paper, the concept of MIMO systems and the some simulation results for the performance of maximum ratio combining (MRC) are introduced for 16-quadrature amplitude modulation (16-QAM). Also, we introduce the antenna selection method to reduce the complexity of MlMO systems and present results for this method with MRC system when 16-QAM modulation is employed. We observed the differences in performance, cost, and complexity of the full complexity MlMO system and the system with antenna selection.Index Terms-Multiple-input multiple-output (MIMO) systems, maxinmm ratio combining (MRC), antenna selection, 16-quadrature amplitude modulation (QAM).

Multiple-antenna systems, also known as multiple input-multiple output (MIMO) radio, improve the capacity and reliability of radio communication systems. Of considerable concern however is the huge complexity involved in the implementation of such systems. Therefore, the design of low complexity, low cost, MIMO systems that keep most of the advantages and benefits of the full-complexity system has gained significant attentions recently. In this paper, we design and implement on field programmable gate array (FPGA) board, a reduced-complexity MIMO-maximum likelihood detection (MLD) system whose performance is as close as possible to the optimal MLD (full-complexity) system while making significant cut back in the over-all hardware/software complexity (and therefore the operating cost) of the system.