QoS-Oriented Sensing-Communication-Control Co-Design for UAV-Enabled Positioning

TL;DR

This paper presents a QoS-oriented co-design approach for UAV-enabled positioning that optimizes sensing, communication, and control to improve system stability and resource efficiency in harsh environments.

Contribution

It introduces a novel SCC co-design framework with mathematical models and an efficient optimization scheme for UAV positioning systems.

Findings

Reduces failure rate of positioning services by over 76%.

Decreases resource consumption by more than 82.7%.

Ensures system stability and meets user requirements.

Abstract

Unmanned aerial vehicle (UAV)-enabled positioning that uses UAVs as aerial anchor nodes is a promising solution for providing positioning services in harsh environments. In previous research, the state sensing and control of UAVs were either ignored or simply set to be performed continuously, resulting in system instability or waste of wireless resources. Therefore, in this article, we propose a quality-of-service (QoS)-oriented UAV-enabled positioning system based on the concept of sensing-communication-control (SCC) co-design. We first establish the mathematical models of UAV state sensing and control. Then, the influence of sensing scheduling and transmission failure on UAV stability, as well as the performance of positioning services in the presence of UAV control error, are analyzed. Based on these models and analysis results, we further study the problem of minimizing the amount of data transmitted by optimizing the sensing scheduling and blocklength allocation under the condition of satisfying each user's demand. Finally, an efficient scheme is developed to solve this mixed-integer nonlinear problem. Numerical results show that the proposed system could work efficiently and meet users' requirements. In addition, compared with two benchmark schemes, our scheme reduces the failure rate or resource consumption of positioning services by more than 76.2% or 82.7%.