Problem
Research questions and friction points this paper is trying to address.
wireless power transfer
6G
closed-loop control
SC3 systems
energy constraint
Orchestrating Communication, Computing, and Energy Transfer for Wireless-Powered 6G Closed-Loop Controls
🤖 AI Summary
This work addresses the degradation in operational lifetime and control performance of battery-constrained devices in 6G sensing–communication–computation–control (SC3) closed-loop systems. To overcome this challenge, we develop an SC3 framework powered by satellite-based RF wireless energy transfer and propose, for the first time, a unified optimization framework that jointly coordinates communication, computation, and wireless power delivery. By simultaneously optimizing uplink and downlink transmit powers, bandwidth allocation, computational resources, scheduling, and energy transmission power, the proposed approach minimizes the linear quadratic regulator (LQR) control cost. Theoretical analysis elucidates the coupling mechanisms among these components and characterizes the structure of the optimal solution in a single-loop scenario. An iterative algorithm is devised to efficiently solve the joint optimization problem. Simulation results demonstrate that the proposed scheme significantly reduces the total LQR cost, thereby enhancing both control performance and energy efficiency.
📝 Abstract
Future sixth generation (6G) communications are expected to support robotic control tasks in applications such as industrial automation and emergency response, where sensors, computing units, and robots are interconnected via nervous system-like networks to form sensing-communication-computing-control (SC3) closed loops. However, the limited battery capacities of devices within these SC3 loops constrain operational duration and degrade control efficiency, particularly in remote or post-disaster scenarios. To address this challenge, wireless power transfer (WPT) can be leveraged to provide continuous energy supply for SC3 closed loops. In this paper, we investigate a wireless-powered SC3 system, where a satellite transfers energy via radio frequency (RF) signals to support the communication and computing processes of multiple SC3 closed loops. By accounting for the intricate coupling among computing, communication, and energy transfer, we propose a holistic design framework to enhance overall control performance. Specifically, we adopt the linear quadratic regulator (LQR) cost as the performance metric and formulate a sum LQR cost minimization problem. The uplink/downlink transmit power, bandwidth allocation, computing capability, communication/computing time allocation, and WPT power allocation are jointly optimized. We recast the problem into a more tractable form and develop an iterative algorithm to solve it. For the special case of a single loop, we further analyze the properties of optimal solutions in energy-limited scenarios to provide insights for practical parameter configuration. Simulation results demonstrate the performance gains of the proposed scheme.
Innovation
Methods, ideas, or system contributions that make the work stand out.
wireless power transfer
SC3 closed-loop
joint resource allocation
LQR cost minimization
6G control systems
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