Impacts of Channel Parameters on the SER of 6G hRLLC Systems

In this paper, we study the impacts of carrier frequency, user velocity, and frame length on the symbol error rate (SER) in industrial Internet of things (IIoT) scenarios of hyper-reliable and low-latency communication (hRLLC) systems. Specifically, we derive the expression of SER based on the sixth-generation (6G) pervasive channel model (6GPCM) with its time autocorrelation function (TACF) and frequency correlation function (FCF). Additionally, we conduct simulations using the 6GPCM with a Monte-Carlo-based orthogonal frequency-division multiplexing (OFDM) system and compare the simulation and theoretical results. Results show that the carrier frequency and user velocity affect the FCF and TACF, respectively. These statistical properties further influence the SER. Increasing frame length degrades the accuracy of channel estimation and SER. This research clarifies the relationship between channel parameters, channel characteristics, and system performance and provides a foundation for analyzing communication system performance under fading channels.