Structured Connectivity for 6G Reflex Arc: Task-Oriented Virtual User and New Uplink-Downlink Tradeoff

Fang, Xinran; Lei, Chengleyang; Feng, Wei; Chen, Yunfei; Ge, Ning; Jin, Shi

Abstract

To accommodate the evolving demands of unmanned operations, the future sixth-generation (6G) network will support not only communication links but also sensing-communication-computing-control (SC3) loops. In each SC3 cycle, the sensor uploads sensing data to the computing center, and the computing center calculates the control command and sends it to the actuator to take action. To maintain the task-level connections between the sensor-to-computing-center link and the computing center-to-actuator link, we propose to treat the sensor and actuator as a virtual user. In this way, the two communication links of the SC3 loop become the uplink and downlink (UL&DL) of the virtual user. Based on the virtual user, we propose a task-oriented UL&DL optimization scheme. This scheme jointly optimizes UL&DL transmit power, time, bandwidth, and CPU frequency to minimize the control linear quadratic regulator (LQR) cost. We decouple the complex problem into a convex UL&DL bandwidth allocation problem with the closed-form solution for the optimal time allocation. Simulation results demonstrate that the proposed scheme achieves a task-level balance between the UL&DL, surpassing conventional communication schemes that optimize each link separately.

Citation

Fang, X., Lei, C., Feng, W., Chen, Y., Ge, N., & Jin, S. (online). Structured Connectivity for 6G Reflex Arc: Task-Oriented Virtual User and New Uplink-Downlink Tradeoff. IEEE Wireless Communications Letters, https://doi.org/10.1109/lwc.2024.3493167

• Journal Article Type: Article
• Acceptance Date: Oct 7, 2024
• Online Publication Date: Nov 7, 2024
• Deposit Date: Dec 5, 2024
• Publicly Available Date: Dec 5, 2024
• Journal: IEEE Wireless Communications Letters
• Print ISSN: 2162-2337
• Electronic ISSN: 2162-2345
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/lwc.2024.3493167
• Public URL: https://durham-repository.worktribe.com/output/3201829