2024/06/03 by Tianhao Liang, Tingting Zhang, Liang, Tianhao. +9
Engineering · #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Robotics and Sensor-Based Localization #Signal Processing (eess.SP) #UAV Applications and Optimization #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2406.01010
openalex publication_date 2024/06/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In wireless sensors networks, integrating localization and communications techniques is crucial for efficient spectrum and hardware utilization. In this paper, we present a novel framework of unmanned aerial vehicle (UAV)-aided localization and communication for ground node (GN), where the average spectral efficiency (SE) is used to reveal the intricate relationship among frame structure, channel estimation error, and localization accuracy. In particular, we first derive the lower bounds for channel estimation error and the three dimensional location prediction error. Leveraging these comprehensive analysis, we formulate a problem to maximize the average SE in UAV-GN communication, where the frame structure, beamwidth and power allocation are jointly optimized. Subsequently, we propose an efficient iterative algorithm to address this non-convex problem with closed-form expressions for beamwidth and power allocation. Numerical results demonstrate that the performance of our proposed method can approach the upper bound with much lower complexity, and achieve over 70% performance gain compared to non-localization benchmarks. Additionally, the analysis highlights the dominant impacts from the Doppler effect over noise on the average SE.