Optimizing Resource Allocation in URLLC for Real-Time Wireless Control Systems
Optimizing Resource Allocation in URLLC for Real-Time Wireless Control Systems
复制标题
优化实时无线控制系统 URLLC 中的资源分配
DOI：
10.1109/tvt.2019.2930153
复制
发表时间：
2019-09-01
影响因子：
6.8
通讯作者：
Chen, Zhi
中科院分区：
文献类型：
--
作者：
Chang, Bo;Zhang, Lei;Chen, Zhi
作为第五代（5G）蜂窝网络中的三个主要场景之一，超可靠和低延迟通信（URLLC）可以作为实时无线控制系统的使能器。在这样的系统中，URLLC中的通信资源消耗和控制子系统性能是相互依赖的。为了优化整个系统的性能，它是关键的集成URLLC和控制子系统一起制定一个协同设计问题。本文基于上行链路传输，研究了实时无线控制系统中URLLC的资源分配问题。该问题通过优化URLLC中的带宽和发射功率分配以及在通信和控制约束下控制收敛速度来进行。要制定和解决的问题，我们首先转换成一个通信可靠性约束的控制收敛速度的要求。然后，协同设计问题可以由常规的无线资源分配问题代替。通过证明转换后的问题是凹的，提出了一种求解最优通信资源分配的迭代算法。在此基础上，可以获得最优的控制收敛速度，以优化系统的整体性能。仿真结果表明，显着的性能增益的频谱效率和控制成本。与传统URLLC设计中满足固定服务质量的方案相比，该方法可以调整最优频谱分配，使通信频谱效率最大化，并保持实际的控制要求。
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.