2019/10/29 by Mark Eisen, Mohammad Mamunur Rashid, Eisen, Mark +5
Computer Science · Engineering · #Advanced Wireless Network Optimization #FOS: Computer and information sciences #FOS: Electrical engineering #Network Time Synchronization Technologies #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #Wireless Networks and Protocols #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1910.13587
openalex publication_date 2019/10/29 · openalex created_date 2022/07/28 · openalex updated_date 2026/07/28
We consider the problem of allocating 5G radio resources over wireless\ncommunication links to control a series of independent low-latency wireless\ncontrol systems common in industrial settings. Each control system sends state\ninformation to the base station to compute control signals under tight latency\nrequirements. Such latency requirements can be met by restricting the uplink\ntraffic to a single subframe in each 5G frame, thus ensuring a millisecond\nlatency bound while leaving the remaining subframes available for scheduling\noverhead and coexisting broadband traffic. A linear assignment problem can be\nformulated to minimize the expected number of packet drops, but this alone is\nnot sufficient to achieve good performance. We propose an optimal scheduling\nwith respect to a control operation cost that allocates resources based on\ncurrent control system needs. The resulting control-aware scheduling method is\ntested in simulation experiments that show drastically improved performance in\n5G settings relative to control-agnostic scheduling under the proposed\ntime-sliced frame structure.\n