Advanced multiuser detector in massive MIMO using reproducing kernel Hilbert space by modified crow search algorithm Online publication date: Tue, 16-Jan-2024
by V.M. Manju; R.S. Ganesh
International Journal of Bio-Inspired Computation (IJBIC), Vol. 22, No. 4, 2023
Abstract: In multi-user massive MIMO (MU-MIMO) systems, there exists a wide range of issues to be resolved for developing a low complexity, adaptive and efficient method. The most general characteristics include reduced latency, throughput, and energy efficiency. The complexity that exists in MU-MIMO detection is the correlation of antenna, signal detection, and channel estimation. So, for building up enhanced data transmission in MIMO systems, this study introduced a sophisticated approach for identifying the Gaussian channel matrix. A processing of the output signal is made easy by this Gaussian matrix. Here, achieving a low BER between sent and received bits is the main goal, and to that end, an optimisation approach is incorporated into this study. A Gaussian channel matrix is optimally tuned to obtain the lowest BER among sent and returned bits. A self-adaptive crow search algorithm (SA-CSA) is introduced in this study for optimisation purposes.
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