Transceiver design for SWIPT MIMO relay systems with hybridized power-time splitting-based relaying protocol
In this paper, we investigate a dual-hop simultaneous wireless information and power transfer (SWIPT) based amplifying-and-forward (AF) multiple-input multiple-output (MIMO) relay communication system where the relay node harvests energy based on radio frequency (RF) signals transmitted from the sou...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Language: | English |
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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/88935 |
| _version_ | 1848765118089789440 |
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| author | Bing, J.L. Rong, Yue Gopal, Lenin Chiong, C.W.R. |
| author_facet | Bing, J.L. Rong, Yue Gopal, Lenin Chiong, C.W.R. |
| author_sort | Bing, J.L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we investigate a dual-hop simultaneous wireless information and power transfer (SWIPT) based amplifying-and-forward (AF) multiple-input multiple-output (MIMO) relay communication system where the relay node harvests energy based on radio frequency (RF) signals transmitted from the source node through the hybridized power-time splitting-based relaying (HPTSR) protocol to forward information to the destination node. The joint optimization of the time-switching (TS) factor, source and relay precoding matrices, and the power-splitting (PS) ratio vector is proposed to maximize the mutual information (MI) between the source and destination nodes. We derive the optimal structure for the source and relay precoding matrices to simplify the transceiver optimization problem. Two algorithms based on the upper bound and lower bound of the objective function are proposed to efficiently solve the optimization problem with low computational complexity. Numerical examples demonstrate that the proposed algorithms provide a better MI performance compared with TS based and PS based energy harvesting (EH) relay systems. |
| first_indexed | 2025-11-14T11:30:10Z |
| format | Journal Article |
| id | curtin-20.500.11937-88935 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:30:10Z |
| publishDate | 2020 |
| publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-889352022-08-03T08:19:56Z Transceiver design for SWIPT MIMO relay systems with hybridized power-time splitting-based relaying protocol Bing, J.L. Rong, Yue Gopal, Lenin Chiong, C.W.R. Science & Technology Technology Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Amplify-and-forward (AF) relay energy harvesting hybridized power-time switching relaying (HPTSR) multiple-input multiple-output (MIMO) relay simultaneous wireless information and power transfer (SWIPT) SIMULTANEOUS WIRELESS INFORMATION OPTIMIZATION In this paper, we investigate a dual-hop simultaneous wireless information and power transfer (SWIPT) based amplifying-and-forward (AF) multiple-input multiple-output (MIMO) relay communication system where the relay node harvests energy based on radio frequency (RF) signals transmitted from the source node through the hybridized power-time splitting-based relaying (HPTSR) protocol to forward information to the destination node. The joint optimization of the time-switching (TS) factor, source and relay precoding matrices, and the power-splitting (PS) ratio vector is proposed to maximize the mutual information (MI) between the source and destination nodes. We derive the optimal structure for the source and relay precoding matrices to simplify the transceiver optimization problem. Two algorithms based on the upper bound and lower bound of the objective function are proposed to efficiently solve the optimization problem with low computational complexity. Numerical examples demonstrate that the proposed algorithms provide a better MI performance compared with TS based and PS based energy harvesting (EH) relay systems. 2020 Journal Article http://hdl.handle.net/20.500.11937/88935 10.1109/ACCESS.2020.3032120 English http://creativecommons.org/licenses/by/4.0/ IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC fulltext |
| spellingShingle | Science & Technology Technology Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Amplify-and-forward (AF) relay energy harvesting hybridized power-time switching relaying (HPTSR) multiple-input multiple-output (MIMO) relay simultaneous wireless information and power transfer (SWIPT) SIMULTANEOUS WIRELESS INFORMATION OPTIMIZATION Bing, J.L. Rong, Yue Gopal, Lenin Chiong, C.W.R. Transceiver design for SWIPT MIMO relay systems with hybridized power-time splitting-based relaying protocol |
| title | Transceiver design for SWIPT MIMO relay systems with hybridized power-time splitting-based relaying protocol |
| title_full | Transceiver design for SWIPT MIMO relay systems with hybridized power-time splitting-based relaying protocol |
| title_fullStr | Transceiver design for SWIPT MIMO relay systems with hybridized power-time splitting-based relaying protocol |
| title_full_unstemmed | Transceiver design for SWIPT MIMO relay systems with hybridized power-time splitting-based relaying protocol |
| title_short | Transceiver design for SWIPT MIMO relay systems with hybridized power-time splitting-based relaying protocol |
| title_sort | transceiver design for swipt mimo relay systems with hybridized power-time splitting-based relaying protocol |
| topic | Science & Technology Technology Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Amplify-and-forward (AF) relay energy harvesting hybridized power-time switching relaying (HPTSR) multiple-input multiple-output (MIMO) relay simultaneous wireless information and power transfer (SWIPT) SIMULTANEOUS WIRELESS INFORMATION OPTIMIZATION |
| url | http://hdl.handle.net/20.500.11937/88935 |