Department of Information and Communication Engineering, University of Rajshahi, Bangladesh.
Department of Information and Communication Engineering, University of Rajshahi, Bangladesh.
Department of Computer seicence and Telecommunication Engineering, Noakhali Science and Technology University.
Department of Information and Communication Engineering, University of Rajshahi, Bangladesh.
This paper proposes a Polar-coded neural damapper based 5G multiple-input multiple-output (MIMO) system for M transmitting and N receiving antenna, operating in a flat fading environment. MIMO is a spatial diversity scheme to improve channel performance and mitigate troubling fading issues in urban environments. A neural network-based smart demapper is considered instead of traditional demapper to improve the system's performance. Researchers have recently focused on developing complex neural network (NN)-based demapper on generating soft information for each transmitted bit. Neural demapper also increases spectral efficiency, meaning a symbol-to-bit demapper with higher complexity. This work considers a Polar-coded MIMO 5G communication system with 2×3, 2×4, 4×6 and 4×16 transmitting and receiving antennas, respectively, to evaluate the system performance under QAM modulation (4-QAM, 16-QAM, 256-QAM) techniques. It is evident from the simulated result that our proposed system performs better for lower-order modulation techniques with an increase in the number of transmitting and receiving antenna.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2023 Multidisciplinary Science Journal