Multi-Frequency Air-to-Ground Channel Measurements and Analysis for UAV Communication Systems

• Published in: IEEE access Vol. 8; pp. 110565 - 110574
• Main Authors: Cui, Zhuangzhuang, Briso-Rodriguez, Cesar, Guan, Ke, Zhong, Zhangdui, Quitin, Francois
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3GPP; Air-to-ground (AG) channel; Antenna measurements; Channels; characterizations; Communications systems; Fading; fading behavior; Fading channels; Frequency measurement; Level crossings; measurements; Propagation losses; Shadow mapping; UAV; Unmanned aerial vehicles; Wireless communications
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.2999659

In order to implement unmanned aerial vehicle (UAV)-based wireless communications, a better understanding of wireless channels and the corresponding channel characterizations are critical. In this paper, air-to-ground (AG) channel measurements are carried out at some candidate frequencies, i.e., 1 GHz, 4 GHz, 12 GHz, and 24 GHz. With measurement data, the crucial channel parameters are comprehensively analyzed. Firstly, based on the channel model in the 3rd Generation Partnership Project (3GPP), the essential coefficients for modeling path loss, including path loss exponents (PLEs) and height-dependent factors, are obtained for AG channels. Then, a novel autocorrelation model for shadow fading is proposed. Besides, the small-scale fading is statistically analyzed, where the log-logistic distribution is found as the best fit among popular distributions. Moreover, the second-order statistical characteristics, including the level crossing rate (LCR) and average fade duration (AFD), are extracted to describe in-depth the fading behavior. Overall, the results and findings in this paper are essential for realizing reliable communications in AG wireless systems.