Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks

TL;DR

This paper presents a control-aware scheduling method for 5G networks that allocates radio resources to low-latency control systems, significantly improving performance by considering control system needs within a time-sliced frame structure.

Contribution

It introduces an optimal, control-aware scheduling approach for 5G that outperforms control-agnostic methods by integrating control system requirements into resource allocation.

Findings

Drastically improved control system performance in simulations

Effective resource allocation based on current control needs

Enhanced latency guarantees for industrial control in 5G

Abstract

We consider the problem of allocating 5G radio resources over wireless communication links to control a series of independent low-latency wireless control systems common in industrial settings. Each control system sends state information to the base station to compute control signals under tight latency requirements. Such latency requirements can be met by restricting the uplink traffic to a single subframe in each 5G frame, thus ensuring a millisecond latency bound while leaving the remaining subframes available for scheduling overhead and coexisting broadband traffic. A linear assignment problem can be formulated to minimize the expected number of packet drops, but this alone is not sufficient to achieve good performance. We propose an optimal scheduling with respect to a control operation cost that allocates resources based on current control system needs. The resulting control-aware scheduling method is tested in simulation experiments that show drastically improved performance in 5G settings relative to control-agnostic scheduling under the proposed time-sliced frame structure.