Beamforming design for MIMO full‐duplex SWIPT IoT system under imperfect CSI
Abstract This paper proposes a multiple‐input multiple‐output full‐duplex relay Internet of Things system under imperfect channel state information, where the relay uses time switching relaying protocol to harvest energy. Particularly, due to the uncertainty channel circumstance, the self‐interferen...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-08-01
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| Series: | IET Communications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cmu2.12196 |
| _version_ | 1811225731855810560 |
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| author | Dan Liu Ling Zhong Zhiguo Xu Zhigang Wen Junwei Zou |
| author_facet | Dan Liu Ling Zhong Zhiguo Xu Zhigang Wen Junwei Zou |
| author_sort | Dan Liu |
| collection | DOAJ |
| description | Abstract This paper proposes a multiple‐input multiple‐output full‐duplex relay Internet of Things system under imperfect channel state information, where the relay uses time switching relaying protocol to harvest energy. Particularly, due to the uncertainty channel circumstance, the self‐interference in full‐duplex relay cannot be eliminated completely. For such a system, a joint source‐relay beamforming optimization problem which maximizes the system achievable rate subject to the transmit power and harvested energy constraints is studied. In light of the intractability of the problem, a singular value decomposition based geometric programming algorithm is investigated. The considered problem is reformulated to a diagonalized form by using singular value decomposition method. Then, the geometric programming algorithm is adopted to obtain the optimal solution for the reformulated problem. Numerical results validate the effectiveness and superiority of the proposed optimization scheme. |
| first_indexed | 2024-04-12T09:12:23Z |
| format | Article |
| id | doaj.art-28dfc54bccb343158e4ed9e332428fbc |
| institution | Directory Open Access Journal |
| issn | 1751-8628 1751-8636 |
| language | English |
| last_indexed | 2024-04-12T09:12:23Z |
| publishDate | 2021-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Communications |
| spelling | doaj.art-28dfc54bccb343158e4ed9e332428fbc2022-12-22T03:38:56ZengWileyIET Communications1751-86281751-86362021-08-0115141849185810.1049/cmu2.12196Beamforming design for MIMO full‐duplex SWIPT IoT system under imperfect CSIDan Liu0Ling Zhong1Zhiguo Xu2Zhigang Wen3Junwei Zou4Beijing Key Laboratory of Work Safety Intelligent Monitoring Department of Electronic Engineering Beijing University of Posts and Telecommunications Beijing ChinaDepartment of Research Center for Intelligent Robot Zhejiang Lab Hangzhou Zhejiang ChinaBeijing Key Laboratory of Work Safety Intelligent Monitoring Department of Electronic Engineering Beijing University of Posts and Telecommunications Beijing ChinaBeijing Key Laboratory of Work Safety Intelligent Monitoring Department of Electronic Engineering Beijing University of Posts and Telecommunications Beijing ChinaBeijing Key Laboratory of Work Safety Intelligent Monitoring Department of Electronic Engineering Beijing University of Posts and Telecommunications Beijing ChinaAbstract This paper proposes a multiple‐input multiple‐output full‐duplex relay Internet of Things system under imperfect channel state information, where the relay uses time switching relaying protocol to harvest energy. Particularly, due to the uncertainty channel circumstance, the self‐interference in full‐duplex relay cannot be eliminated completely. For such a system, a joint source‐relay beamforming optimization problem which maximizes the system achievable rate subject to the transmit power and harvested energy constraints is studied. In light of the intractability of the problem, a singular value decomposition based geometric programming algorithm is investigated. The considered problem is reformulated to a diagonalized form by using singular value decomposition method. Then, the geometric programming algorithm is adopted to obtain the optimal solution for the reformulated problem. Numerical results validate the effectiveness and superiority of the proposed optimization scheme.https://doi.org/10.1049/cmu2.12196Signal processing and detectionCommunication channel equalisation and identificationProtocolsComputer communicationsRadio links and equipmentOptimisation techniques |
| spellingShingle | Dan Liu Ling Zhong Zhiguo Xu Zhigang Wen Junwei Zou Beamforming design for MIMO full‐duplex SWIPT IoT system under imperfect CSI IET Communications Signal processing and detection Communication channel equalisation and identification Protocols Computer communications Radio links and equipment Optimisation techniques |
| title | Beamforming design for MIMO full‐duplex SWIPT IoT system under imperfect CSI |
| title_full | Beamforming design for MIMO full‐duplex SWIPT IoT system under imperfect CSI |
| title_fullStr | Beamforming design for MIMO full‐duplex SWIPT IoT system under imperfect CSI |
| title_full_unstemmed | Beamforming design for MIMO full‐duplex SWIPT IoT system under imperfect CSI |
| title_short | Beamforming design for MIMO full‐duplex SWIPT IoT system under imperfect CSI |
| title_sort | beamforming design for mimo full duplex swipt iot system under imperfect csi |
| topic | Signal processing and detection Communication channel equalisation and identification Protocols Computer communications Radio links and equipment Optimisation techniques |
| url | https://doi.org/10.1049/cmu2.12196 |
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