Throughput Maximization for RIS-Assisted UAV-Enabled WPCN
This paper investigates a reconfigurable intelligent surface (RIS)-assisted unmanned aerial vehicle (UAV)-enabled wireless powered communication network (WPCN). In the system, a UAV acts as a hybrid access point (HAP) to charge users in the downlink (DL) and receive messages in the uplink (UL). In p...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10387449/ |
| _version_ | 1827369229079281664 |
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| author | Jiaying Zhang Jie Tang Wanmei Feng Xiu Yin Zhang Daniel Ka Chun So Kat-Kit Wong Jonathon A. Chambers |
| author_facet | Jiaying Zhang Jie Tang Wanmei Feng Xiu Yin Zhang Daniel Ka Chun So Kat-Kit Wong Jonathon A. Chambers |
| author_sort | Jiaying Zhang |
| collection | DOAJ |
| description | This paper investigates a reconfigurable intelligent surface (RIS)-assisted unmanned aerial vehicle (UAV)-enabled wireless powered communication network (WPCN). In the system, a UAV acts as a hybrid access point (HAP) to charge users in the downlink (DL) and receive messages in the uplink (UL). In particular, the RIS is exploited to significantly enhance the efficiency of both the DL and UL transmission. Our objective is to enhance the minimum throughput among all ground users by jointly optimizing the horizontal location of UAVs, the transmit power of users, transmission time allocation, and passive beamforming vectors at the RIS. To address this problem, we present an alternating optimization-based algorithm with low complexity to decompose the problem into four subproblems and solve them sequentially. In particular, we derive a lower bound of the composite channel gain to tighten the constraints and employ successive convex approximation (SCA) to optimize the horizontal location of the UAV. The transmit power closed-form optimum solutions are then obtained, and the problem of time allocation is reformulated as a linear programming problem. Finally, we optimize the passive beamforming vectors by adopting semi-definite relaxation (SDR). The effectiveness of the algorithm is supported by numerical results, which also demonstrate that the RIS-assisted UAV-enabled WPCN outperforms the traditional WPCN in terms of the minimum throughput. |
| first_indexed | 2024-03-08T09:43:13Z |
| format | Article |
| id | doaj.art-e5dea2797dc84dd8aa211096a10b65d2 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T09:43:13Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e5dea2797dc84dd8aa211096a10b65d22024-01-30T00:02:16ZengIEEEIEEE Access2169-35362024-01-0112134181343010.1109/ACCESS.2024.335208510387449Throughput Maximization for RIS-Assisted UAV-Enabled WPCNJiaying Zhang0https://orcid.org/0000-0001-6040-4267Jie Tang1https://orcid.org/0000-0003-0619-0338Wanmei Feng2Xiu Yin Zhang3https://orcid.org/0000-0003-3659-0586Daniel Ka Chun So4https://orcid.org/0000-0002-7642-1755Kat-Kit Wong5https://orcid.org/0000-0001-7521-0078Jonathon A. Chambers6https://orcid.org/0000-0002-7224-8553School of Electronic and Information Engineering, South China University of Technology, Guangzhou, ChinaSchool of Electronic and Information Engineering, South China University of Technology, Guangzhou, ChinaCollege of Electronic Engineering, South China Agricultural University, Guangzhou, ChinaSchool of Electronic and Information Engineering, South China University of Technology, Guangzhou, ChinaDepartment of Electrical and Electronic Engineering, The University of Manchester, Manchester, U.K.Department of Electronic and Electrical Engineering, University College London, London, U.K.School of Engineering, University of Leicester, Leicester, U.K.This paper investigates a reconfigurable intelligent surface (RIS)-assisted unmanned aerial vehicle (UAV)-enabled wireless powered communication network (WPCN). In the system, a UAV acts as a hybrid access point (HAP) to charge users in the downlink (DL) and receive messages in the uplink (UL). In particular, the RIS is exploited to significantly enhance the efficiency of both the DL and UL transmission. Our objective is to enhance the minimum throughput among all ground users by jointly optimizing the horizontal location of UAVs, the transmit power of users, transmission time allocation, and passive beamforming vectors at the RIS. To address this problem, we present an alternating optimization-based algorithm with low complexity to decompose the problem into four subproblems and solve them sequentially. In particular, we derive a lower bound of the composite channel gain to tighten the constraints and employ successive convex approximation (SCA) to optimize the horizontal location of the UAV. The transmit power closed-form optimum solutions are then obtained, and the problem of time allocation is reformulated as a linear programming problem. Finally, we optimize the passive beamforming vectors by adopting semi-definite relaxation (SDR). The effectiveness of the algorithm is supported by numerical results, which also demonstrate that the RIS-assisted UAV-enabled WPCN outperforms the traditional WPCN in terms of the minimum throughput.https://ieeexplore.ieee.org/document/10387449/Wireless powered communication network (WPCN)unmanned aerial vehicle (UAV)reconfigurable intelligent surface (RIS)optimal placementresource allocation |
| spellingShingle | Jiaying Zhang Jie Tang Wanmei Feng Xiu Yin Zhang Daniel Ka Chun So Kat-Kit Wong Jonathon A. Chambers Throughput Maximization for RIS-Assisted UAV-Enabled WPCN IEEE Access Wireless powered communication network (WPCN) unmanned aerial vehicle (UAV) reconfigurable intelligent surface (RIS) optimal placement resource allocation |
| title | Throughput Maximization for RIS-Assisted UAV-Enabled WPCN |
| title_full | Throughput Maximization for RIS-Assisted UAV-Enabled WPCN |
| title_fullStr | Throughput Maximization for RIS-Assisted UAV-Enabled WPCN |
| title_full_unstemmed | Throughput Maximization for RIS-Assisted UAV-Enabled WPCN |
| title_short | Throughput Maximization for RIS-Assisted UAV-Enabled WPCN |
| title_sort | throughput maximization for ris assisted uav enabled wpcn |
| topic | Wireless powered communication network (WPCN) unmanned aerial vehicle (UAV) reconfigurable intelligent surface (RIS) optimal placement resource allocation |
| url | https://ieeexplore.ieee.org/document/10387449/ |
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