Efficient Detectors for MIMO-OFDM Systems under Spatial Correlation Antenna Arrays

TL;DR

This paper evaluates the performance of various MIMO-OFDM detectors under realistic conditions like antenna correlation and array configurations, using time-domain channel models and Monte Carlo simulations.

Contribution

It provides a comprehensive analysis of detector performance considering realistic channel conditions, antenna configurations, and correlation effects in MIMO-OFDM systems.

Findings

Channel selectivity impacts detector performance.

Antenna correlation reduces system capacity.

Linear detectors offer a good trade-off between complexity and performance.

Abstract

This work analyzes the performance of the implementable detectors for multiple-input-multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) technique under specific and realistic operation system condi- tions, including antenna correlation and array configuration. Time-domain channel model has been used to evaluate the system performance under realistic communication channel and system scenarios, including different channel correlation, modulation order and antenna arrays configurations. A bunch of MIMO-OFDM detectors were analyzed for the purpose of achieve high performance combined with high capacity systems and manageable computational complexity. Numerical Monte-Carlo simulations (MCS) demonstrate the channel selectivity effect, while the impact of the number of antennas, adoption of linear against heuristic-based detection schemes, and the spatial correlation effect under linear and planar antenna arrays are analyzed in the MIMO-OFDM context.