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

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.