Optimizing Resource Allocation in URLLC for Real-Time Wireless Control Systems

As one of the three main scenarios in the fifth-generation (5G) cellular networks, ultra-reliable and low-latency communication (URLLC) can be served as an enabler for real-time wireless control systems. In such a system, the communication resource consumption in URLLC and the control subsystem perf...

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Vydáno v:IEEE transactions on vehicular technology Ročník 68; číslo 9; s. 8916 - 8927
Hlavní autoři: Chang, Bo, Zhang, Lei, Li, Liying, Zhao, Guodong, Chen, Zhi
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.09.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Bandwidths
Cellular communication
Co-design
Communication
Communications systems
Computer simulation
Control systems
Convergence
Economic models
Iterative algorithms
Optimal control
optimal resource allocation
Optimization
Power management
Quality of service
Real time
real-time wireless control
Reliability
Resource allocation
Resource management
Sensors
Spectrum allocation
Subsystems
URLLC
Wireless communication
ISSN:0018-9545, 1939-9359
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Shrnutí:As one of the three main scenarios in the fifth-generation (5G) cellular networks, ultra-reliable and low-latency communication (URLLC) can be served as an enabler for real-time wireless control systems. In such a system, the communication resource consumption in URLLC and the control subsystem performance are mutually dependent. To optimize the overall system performance, it is critical to integrate URLLC and control subsystems together by formulating a co-design problem. In this paper, based on uplink transmission, we study the resource allocation problem for URLLC in real-time wireless control systems. The problem is conducted by optimizing bandwidth and transmission power allocation in URLLC and control convergence rate subject to the constraints on communication and control. To formulate and solve the problem, we first convert the control convergence rate requirement into a communication reliability constraint. Then, the co-design problem can be replaced by a regular wireless resource allocation problem. By proving the converted problem is concave, an iteration algorithm is proposed to find the optimal communication resource allocation. Based on that, the optimal control convergence rate can be obtained to optimize overall system performance. Simulation results show remarkable performance gain in terms of spectral efficiency and control cost. Compared with the scheme of satisfying fixed quality-of-service in traditional URLLC design, our method can adjust optimal spectrum allocation to maximize the communication spectral efficiency and maintain the actual control requirement.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2019.2930153