Abstract
The linear closed loop Multiple-input Multiple-output (CL-MIMO) precoding techniques characterized by the channel state information knowledge (CSI), at both sides of the link, aims to improve information throughput and reduce the bit error rate in the communication system. The processing involves multiplying a signal by a precoding matrix, computing from the CSI with some optimized criteria. In this paper, we proposed a new concatenation of the precoders optimizing the minimal Euclidean distance with soft Maximum Likelihood (soft-ML) detection. We analyze the performance in terms of bit error rate (BER) for the proposed association with the three well-known quantized precoders: Maximum of minimum Euclidean distance (Max-dmin) precoder, Orthogonalized Spatial Multiplexing precoder (POSM), and Orthogonalized Spatial Multiplexing (OSM) based on the same criteria, in coded MIMO system over a Rayleigh fading channel, using Quadrature Amplitude Modulation (QAM). Simulations show the interest of the proposed association of the dmin-based precoder with a soft - Ml detector, and the best result is achieved for Max-dmin precoder.
Highlights
Modern wireless communications [1], especially fifthgeneration (5G) cellular networks [2], [3], require high data throughput with low transmission latency
We study the behavior of the concatenation of the Soft-maximum likelihood (ML) detector with the precoder based on the minimum Euclidian Distance criterion
Given perfect Channel State Information (CSI) at the transmitter, we provided simulations results that demonstrate the efficiency of the proposed concatenation
Summary
Modern wireless communications [1], especially fifthgeneration (5G) cellular networks [2], [3], require high data throughput with low transmission latency. The principle of precoding techniques is that, when the channel knowledge is available to the transmitter, the transmit signal is pre-multiplied by a precoding matrix so that the inter-symbol interference (ISI) in the receiver is greatly reduced This knowledge of the characteristics of the channel makes it possible to anticipate any damage caused by the propagation, in order to obtain a "global" transmission channel favorable to communication. As a second contribution, and to see the effective method for our proposed system, we compare the performance of Max-dmin, POSM and OSM procedures using Soft-ML detection These three techniques optimize the same criterion (minimum Euclidean distance), but each precoder uses a different method, the SDV, the antenna selection and Coding-Orthogonalization respectively.
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