MMSE Indicator Error Rate Performance on MIMO When Increasing Modulation Order

Evariste Some, Ibrahim Ayad and Bryan C. Boots
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Evariste Some: Technology, Cybersecurity, and Policy Program, University of Colorado, Boulder, USA
Ibrahim Ayad: Cisco Systems, Inc., San Jose, USA
Bryan C. Boots: Walter Scott Jr. College of Engineering, Colorado State University, USA

International Journal of Interdisciplinary Telecommunications and Networking (IJITN), 2021, vol. 13, issue 3, 1-11

Abstract: Research in estimation theory has given evidence that the rich scattering of wireless channels is capable of great theoretical capacity if the multipath is efficiently utilized. Spatial multiplexing using multiple-input multiple-output (MIMO) systems makes efficient use of a limited frequency spectrum and increases the transmission throughput in wireless communications systems. This paper reviews the performance of the minimum mean squared error estimator for MIMO. In this context, it shows that the minimum mean square error (MMSE) for MIMO receiver exhibits an intricate error behavior that depends on channel condition, the antenna configuration, and the degree of modulation order. To this purpose, an explicit step-by-step mathematical model is derived for the receiver estimator and the error covariance based on the MMSE MIMO. Analysis, simulation, and experiment based on open source and programmable hardware and software results show that the MMSE estimator receiver efficiency is also based on the modulation order.

Date: 2021
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