Title: Joint 5G NR polar code-convolutional code design for massive MIMO-UFMC system

Authors: Smita Jolania; Ravi Sindal; Ankit Saxena

Addresses: Department of Electronics and Communication Engineering, Institute of Engineering and Technology DAVV, 452017, Indore, India ' Department of Electronics and Communication Engineering, Institute of Engineering and Technology DAVV, 452017, Indore, India ' Department of Electronics and Communication Engineering, Indore Institute of Science and Technology, 453331, Indore, India

Abstract: Polar codes (PC) are the major contender in fifth generation-new radio (5G-NR) for error control in the physical downlink control channel (PDCCH) The work proposes a novel concatenated error correction technique of PC with convolutional codes (CC) and is experimented under 5G simulation constraints. This research paper develops a simulation model of universal filtered multicarrier (UFMC) modulation based massive multiple-input multiple-output (MIMO) technique targeting for short burst transmissions. The UFMC uses sub-band filtering with reduced out-of-band emissions (OOBE) and enhanced spectral efficiency. An analytical framework of the novel PC-CC-UFMC system to effectively correlate the flexible design parameters for different wireless channels is implemented to enhance bit error rate (BER) performance. The results shown in paper, a gain in the required signal to noise ratio (SNR) for same BER is reduced by approximately 5 dB for increase in antenna from 64 to 256.

Keywords: polar codes; new radio; convolutional codes; massive MIMO; multiple-input multiple-output; UFMC; universal filtered multicarrier.

DOI: 10.1504/IJAACS.2025.147721

International Journal of Autonomous and Adaptive Communications Systems, 2025 Vol.18 No.3, pp.243 - 257

Received: 05 Jul 2023
Accepted: 01 Mar 2024
Published online: 28 Jul 2025 *

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