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Recently, the use of lab testbed sampling in the real-world for the upcoming 6G era has started. In order to enhance the Bit Error Rate determination, a system that utilizes ultra-massive multiple input multiple output (umMIMO; 1024 1024) will utilize an assortment of multiplexing strategies. The data rate and system performance are increased by the umMIMO 1 system for 6G. In this study, we have concentrated on finding the optimal BER in a range of multiple access strategies to meet the requirements of equalization selection and spatial multiplexing. The equalizer should be able to handle large bandwidths and lessen the effects of frequency-selective fading because of high frequency THz transmission. For ease of use and efficiency in managing spatial interference, linear equalizers are taken into consideration, such as minimal mean square error (MMSE) equalizers or zero-forcing (ZF) equalizers. In this work, we pick the equalizer and determine spatial multiplexing using the 8PSK modulated Rayleigh, Ricean, and Nakagami fading channels. We have assessed this issue using MATLAB simulation.
Hoque et al. (Thu,) studied this question.
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