017). Demystifying network slicing: from theory to practice. IFIP/IEEE Symposium on IM. Optimizing Resource Allocation in URLLC for Real-Time Wireless Control Systems Bo Chang1, Liying Li2 and Guodong Zhao 1 National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China (UESTC), China 2 Department of Mathematics, Physics and Electrical Engineering, Northumbria University, UK 3 School of Engineering, University of Glasgow, UK 14.1 Introduction The imminent fifth generation (5G) cellular networks is expected to support three critical communication services with significantly different requirements - enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low-latency communication (URLLC). To achieve the above heterogeneous services, network slicing has been proposed in recent years, where these services are isolated from each other and the resources are accurately allocated to guarantee different system perfor- mance. In particular, network slicing can guarantee URLLC service by a combination of scheduling, which can ensure a certain amount of predictability in the available resources. Based on that, ultra-reliability and low latency can be maintained [1]. URLLC has shown the potential to provide service to real-time wireless control systems, which can provide significant advantage compared with traditional wired control systems. For instance, system deployment can be modified or upgraded flexibly while maintain- ing the commutation quality unaltered. In vehicle technologies, URLLC is one of the key enablers to in-vehicle wireless control, which can significantly reduce financial cost in man- ufacturing. This further improves fuel efficiency and reduces gas emission to provide timely, reliable, and accurate control and an open architecture for new applications [2] and [3]. Furthermore, URLLC is crucial for vehicle-to-anything (V2X) communication, which is essential for vehicle automatic driving via wireless commu