Distributed Beamforming for Relay Assisted Multiuser Machine-to-Machine Networks
We consider signal transmission with the aid of multiple half-duplex single-antenna relay nodes using the amplify-and-forward (AF) strategy for a multiuser wireless machine-to-machine (M2M) communication system. In such a scenario, relay beamforming has been proved to be an effective way to improve...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2012-08-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2012/213727 |
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| _version_ | 1849684219582742528 |
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| author | Chen Chen Lin Bai Meiping Feng Minhua Huang Tian Tian |
| author_facet | Chen Chen Lin Bai Meiping Feng Minhua Huang Tian Tian |
| author_sort | Chen Chen |
| collection | DOAJ |
| description | We consider signal transmission with the aid of multiple half-duplex single-antenna relay nodes using the amplify-and-forward (AF) strategy for a multiuser wireless machine-to-machine (M2M) communication system. In such a scenario, relay beamforming has been proved to be an effective way to improve system performance by employing spatial diversity gains. Early works have mostly focused on various centralized relay beamforming schemes based on global channel state information (CSI). Since global CSI is often unavailable due to geometric locations, power limitation, or other constraints of the relay nodes in M2M networks, our work aims to develop distributed algorithms that each relay node individually learns its own beamforming weights with local CSI. We propose two suboptimal relay beamforming schemes that only require local CSI to minimize mean square error (MSE) for all the users with nonorthogonal channels. For multiuser systems with orthogonal channels, we divide the optimization problem into multiple single user problems which then can be solved by each relay independently. Numerical simulations for the proposed algorithms are presented showing the performance of the proposed schemes is close to that of the optimal scheme with global CSI in terms of bit error rate (BER) criterion. |
| format | Article |
| id | doaj-art-bd51b8a0b38949fbbd45d290ebecddfc |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2012-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-bd51b8a0b38949fbbd45d290ebecddfc2025-08-20T03:23:31ZengWileyInternational Journal of Distributed Sensor Networks1550-14772012-08-01810.1155/2012/213727Distributed Beamforming for Relay Assisted Multiuser Machine-to-Machine NetworksChen Chen0Lin Bai1Meiping Feng2Minhua Huang3Tian Tian4 State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University, Beijing 100871, China School of Electronic and Information Engineering, Beihang University, Beijing 100191, China State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University, Beijing 100871, China State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University, Beijing 100871, China Strategic Investment Department, China Unicom, Beijing 100033, ChinaWe consider signal transmission with the aid of multiple half-duplex single-antenna relay nodes using the amplify-and-forward (AF) strategy for a multiuser wireless machine-to-machine (M2M) communication system. In such a scenario, relay beamforming has been proved to be an effective way to improve system performance by employing spatial diversity gains. Early works have mostly focused on various centralized relay beamforming schemes based on global channel state information (CSI). Since global CSI is often unavailable due to geometric locations, power limitation, or other constraints of the relay nodes in M2M networks, our work aims to develop distributed algorithms that each relay node individually learns its own beamforming weights with local CSI. We propose two suboptimal relay beamforming schemes that only require local CSI to minimize mean square error (MSE) for all the users with nonorthogonal channels. For multiuser systems with orthogonal channels, we divide the optimization problem into multiple single user problems which then can be solved by each relay independently. Numerical simulations for the proposed algorithms are presented showing the performance of the proposed schemes is close to that of the optimal scheme with global CSI in terms of bit error rate (BER) criterion.https://doi.org/10.1155/2012/213727 |
| spellingShingle | Chen Chen Lin Bai Meiping Feng Minhua Huang Tian Tian Distributed Beamforming for Relay Assisted Multiuser Machine-to-Machine Networks International Journal of Distributed Sensor Networks |
| title | Distributed Beamforming for Relay Assisted Multiuser Machine-to-Machine Networks |
| title_full | Distributed Beamforming for Relay Assisted Multiuser Machine-to-Machine Networks |
| title_fullStr | Distributed Beamforming for Relay Assisted Multiuser Machine-to-Machine Networks |
| title_full_unstemmed | Distributed Beamforming for Relay Assisted Multiuser Machine-to-Machine Networks |
| title_short | Distributed Beamforming for Relay Assisted Multiuser Machine-to-Machine Networks |
| title_sort | distributed beamforming for relay assisted multiuser machine to machine networks |
| url | https://doi.org/10.1155/2012/213727 |
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