Optimal Deployment Strategy for Reconfigurable Intelligent Surface under LoSD via Joint Active and Passive Beamforming
A reconfigurable intelligent surface (RIS) is a new and revolutionizing technology to achieve spectrum-efficient (SE) and energy-efficient (EE) wireless networks. In this paper, we study an optimal deployment strategy of RIS in a line-of-sight domain (LoSD) based on an actual deployment scenario, wh...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/25/7/1073 |
| _version_ | 1797589389588561920 |
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| author | Ke Zhao Zhiqun Song Jun Xiong |
| author_facet | Ke Zhao Zhiqun Song Jun Xiong |
| author_sort | Ke Zhao |
| collection | DOAJ |
| description | A reconfigurable intelligent surface (RIS) is a new and revolutionizing technology to achieve spectrum-efficient (SE) and energy-efficient (EE) wireless networks. In this paper, we study an optimal deployment strategy of RIS in a line-of-sight domain (LoSD) based on an actual deployment scenario, which jointly considers path loss, transmit power and the energy efficiency of the system. Furthermore, we aim to minimize the transmit power via jointly optimizing its transmit beamforming and the reflect phase shifts of RIS, subject to the quality-of-service (QoS) constraint, namely, the signal-to-noise ratio (SNR) constraint at the user. However, this optimization problem is non-convex with intricately coupled variables. To tackle this challenge, we first apply proper transformation on the QoS constraint and then propose an efficient alternating optimization (AO) algorithm. Simulation results demonstrate that compared to a conventional endpoint deployment strategy that simply deploys RIS at the transceiver ends, our proposed LoSD deployment strategy significantly reduces the transmit power by optimizing the available LoS links when a single RIS is relayed. The impact of the number of reflect elements on the system EE is also unveiled. |
| first_indexed | 2024-03-11T01:05:57Z |
| format | Article |
| id | doaj.art-b647c76c3c9245a1b51efabb50855e75 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-11T01:05:57Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-b647c76c3c9245a1b51efabb50855e752023-11-18T19:14:23ZengMDPI AGEntropy1099-43002023-07-01257107310.3390/e25071073Optimal Deployment Strategy for Reconfigurable Intelligent Surface under LoSD via Joint Active and Passive BeamformingKe Zhao0Zhiqun Song1Jun Xiong2The 54th Research Institute of CETC, Shijiazhuang 050081, ChinaThe 54th Research Institute of CETC, Shijiazhuang 050081, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaA reconfigurable intelligent surface (RIS) is a new and revolutionizing technology to achieve spectrum-efficient (SE) and energy-efficient (EE) wireless networks. In this paper, we study an optimal deployment strategy of RIS in a line-of-sight domain (LoSD) based on an actual deployment scenario, which jointly considers path loss, transmit power and the energy efficiency of the system. Furthermore, we aim to minimize the transmit power via jointly optimizing its transmit beamforming and the reflect phase shifts of RIS, subject to the quality-of-service (QoS) constraint, namely, the signal-to-noise ratio (SNR) constraint at the user. However, this optimization problem is non-convex with intricately coupled variables. To tackle this challenge, we first apply proper transformation on the QoS constraint and then propose an efficient alternating optimization (AO) algorithm. Simulation results demonstrate that compared to a conventional endpoint deployment strategy that simply deploys RIS at the transceiver ends, our proposed LoSD deployment strategy significantly reduces the transmit power by optimizing the available LoS links when a single RIS is relayed. The impact of the number of reflect elements on the system EE is also unveiled.https://www.mdpi.com/1099-4300/25/7/1073RISLoSDalternating optimizationdeployment strategy |
| spellingShingle | Ke Zhao Zhiqun Song Jun Xiong Optimal Deployment Strategy for Reconfigurable Intelligent Surface under LoSD via Joint Active and Passive Beamforming Entropy RIS LoSD alternating optimization deployment strategy |
| title | Optimal Deployment Strategy for Reconfigurable Intelligent Surface under LoSD via Joint Active and Passive Beamforming |
| title_full | Optimal Deployment Strategy for Reconfigurable Intelligent Surface under LoSD via Joint Active and Passive Beamforming |
| title_fullStr | Optimal Deployment Strategy for Reconfigurable Intelligent Surface under LoSD via Joint Active and Passive Beamforming |
| title_full_unstemmed | Optimal Deployment Strategy for Reconfigurable Intelligent Surface under LoSD via Joint Active and Passive Beamforming |
| title_short | Optimal Deployment Strategy for Reconfigurable Intelligent Surface under LoSD via Joint Active and Passive Beamforming |
| title_sort | optimal deployment strategy for reconfigurable intelligent surface under losd via joint active and passive beamforming |
| topic | RIS LoSD alternating optimization deployment strategy |
| url | https://www.mdpi.com/1099-4300/25/7/1073 |
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