CRC‐AFC‐based dynamic spectrum resource optimisation for URLLC access in 5G‐advanced and 6G

Abstract

Ultra-reliable low-latency communication (URLLC) has the most stringent end-to-end communication performance requirements among the three major 5G scenarios. The URLLC enhancement research on 5G-advanced and 6G needs to be explored continuously. First, through the analysis of the mmWave downlink channel model with finite block length, the CRC detection error feedback mechanism is introduced, and a variable code rate CRC-AFC cascaded coding scheme is designed. The re-encoding process of the proposed scheme can effectively improve the system reliability in a wide SNR range. Then, a URLLC dynamic spectrum optimisation algorithm based on CRC-AFC cascade coding is proposed by analysing the relationship between the latency constraint range of URLLC data, the SNR, and the coding error rate. While ensuring the quality of non-URLLC communication, the proposed algorithm can dynamically allocate unlicensed spectrum based on the code rate and URLLC traffic, so as to improve reliability within a wide SNR range and improve latency performance under a large number of URLLC users.