MPC-Based Rate Calculation for 5G ultra-Reliable Low-Latency Communication under Fluctuating Fading Channels

Ultra-reliable low-latency communication (uRLLC), as one of the typical 5 G use cases, provides an extremely low end-to-end latency with ultra-high reliability. The Quality of Service (QoS) factors of URLLC are usually analyzed and satisfied by keeping the data rate to be larger than a threshold value. Then the resource allocation task is further considered in a onetime step manner. In this paper, we consider a typical resource allocation task for uRLLC users and apply a model predictive control (MPC)-based system architecture and algorithm to solve the task using a receding time horizon. Since the decisions of the data rate contribute to the system’s reliability, we first build an optimization problem to choose the suitable data rate with the required QoS under fluctuating channel conditions. The rates are further applied to the 5G system in the MPC-based terminology. The performance shows that our proposed solution can provide comparably good performance and work in a realtime fashion. Moreover, the data rate calculation part can further be implemented as a plugin module for different uRLLC-related problems.