Wireless Control over Edge Networks: Joint User Association and Communication-Computation Co-Design
Zhilin Liu, Yiyang Li, Huijun Xing, Ye Zhang, Jie Xu, and Shuguang Cui

TL;DR
This paper proposes a joint user association and resource allocation framework for wireless edge control systems, optimizing latency and stability using advanced MIMO and TDMA techniques.
Contribution
It introduces a novel joint design of BS-sensor/actuator association and resource allocation for wireless control, considering interference and latency constraints.
Findings
Significant latency reduction compared to heuristic schemes
Enhanced control stability through optimized resource management
Outperforms FDMA-based approaches in simulations
Abstract
This paper studies a wireless networked control system with multiple base stations (BSs) cooperatively coordinating the wireless control of a number of subsystems each consisting of a plant, a sensor, and an actuator. In this system, each sensor first offloads the sensing data to its associated BS, which then employs mobile edge computing (MEC) to process the data and sends the command signals back to the actuator for remote control. We consider the time-division-multiple-access (TDMA) service protocol among different BSs to facilitate the cascaded communication and computation process, in which different BSs implement the uplink data collection and downlink command broadcasting over orthogonal time slots. We also employ the massive multiple-input multiple-output (MIMO) at BSs, based on which each BS serves its associated sensors or actuators over the same time-frequency resources via…
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Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Wireless Body Area Networks · Cooperative Communication and Network Coding
