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Mitigating the Doubly Near-Far Effect in UAV-Enabled WPCN
Tang, Hongying1; Wu, Qingqing2; Chen, Wen3; Wang, Jiang1; Li, Baoqing1
2021-08-01
Source PublicationIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
ISSN0018-9545
Volume70Issue:8Pages:8349-8354
Abstract

In this letter, we investigate an unmanned aerial vehicle (UAV) enabled wireless powered communication network (WPCN), in which the UAV first employs the radio frequency (RF) signal to power ground users, and then the users communicate with the UAV by using the harvested energy. The sum rate maximization problem in WPCN suffers doubly near-far effect caused by the double signal propagation loss in both the energy harvesting and communication stage. It is generally believed that this effect can be alleviated by integrating UAV into WPCN, thanks to its flexible deployment. However, due to the lack of analytical solution in state-of-art research, it is still unclear how to quantify the advantage that the mobility of UAV brings to migrating the doubly near-far effect. To address this issue, by showing that the optimal UAV trajectory has a multi-location hovering structure, we first derive the closed-form optimal solution of resource allocation, as a function of the UAV hovering location for downlink wireless power transfer (WPT). We then prove that the UAV in our case only needs to hover at a single location for WPT. More importantly, it is explicitly shown that the doubly near far effect can be alleviated into near-far effect. Simulation results validate our analysis.

KeywordResource Allocation Trajectory Optimization Wireless Powered Communication Network (Wpcn) Unmanned Aerial Vehicle (Uav) Sum Rate Maximization
DOI10.1109/TVT.2021.3096540
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering ; Telecommunications ; Transportation
WOS SubjectEngineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology
WOS IDWOS:000685892200091
Scopus ID2-s2.0-85110863064
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Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorWu, Qingqing
Affiliation1.Science and Technology on Microsystem Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China
2.State Key Laboratory of Internet of Things for Smart City, University of Macau, 999078, Macao
3.Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai, 200240, China
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Tang, Hongying,Wu, Qingqing,Chen, Wen,et al. Mitigating the Doubly Near-Far Effect in UAV-Enabled WPCN[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70(8), 8349-8354.
APA Tang, Hongying., Wu, Qingqing., Chen, Wen., Wang, Jiang., & Li, Baoqing (2021). Mitigating the Doubly Near-Far Effect in UAV-Enabled WPCN. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 70(8), 8349-8354.
MLA Tang, Hongying,et al."Mitigating the Doubly Near-Far Effect in UAV-Enabled WPCN".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 70.8(2021):8349-8354.
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