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- Publisher Website: 10.1109/TWC.2017.2689769
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Article: Energy efficient transmission in multi-user MIMO relay channels with perfect and imperfect channel state information
Title | Energy efficient transmission in multi-user MIMO relay channels with perfect and imperfect channel state information |
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Authors | |
Keywords | convex optimization Energy efficiency iterative algorithms multi-user MIMO relay channels |
Issue Date | 2017 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7693 |
Citation | IEEE Transactions on Wireless Communications, 2017, v. 16 n. 6, p. 3885-3898 How to Cite? |
Abstract | We design novel transmission strategies to maximize the energy efficiency (EE) of the uplink multi-user MIMO relay channel. In this channel, K multi-antenna users communicate with a multi-antenna base station (BS) through a multi-antenna relay. To achieve the goal of EE maximization, we propose new iterative algorithms to jointly optimize the multi-user precoder and the relay precoder under transmit power constraints for two cases. In the first case, the perfect global channel state information (CSI) is available, while in the second case, the CSI between the relay and the BS is imperfect. To surmount the non-convexity of our formulated EE optimization problems in both cases, we introduce the parameter subtractive function into the proposed algorithms. Then the EE parameter in the parameter subtractive function is updated by the Dinkelbach’s algorithm in the perfect CSI case, and by the bisection method in the imperfect CSI case. Moreover, in the perfect CSI case the relay precoder is optimized by the diagonalization operation and the multi-user precoder is optimized based on the weighted minimum mean square error method. Differently, in the imperfect CSI case we apply the sign-definiteness lemma to promote the semidefinite programming formulation of the EE optimization problem. Furthermore, we present numerical results to demonstrate that our proposed iterative algorithms have a good convergence rate in both cases. In addition, we show that our proposed iterative algorithms achieve a higher EE performance than the existing algorithms in both CSI cases. |
Persistent Identifier | http://hdl.handle.net/10722/243917 |
ISSN | 2023 Impact Factor: 8.9 2023 SCImago Journal Rankings: 5.371 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Gong, S | - |
dc.contributor.author | Xing, C | - |
dc.contributor.author | Yang, N | - |
dc.contributor.author | Wu, YC | - |
dc.contributor.author | Fei, Z | - |
dc.date.accessioned | 2017-08-25T03:01:12Z | - |
dc.date.available | 2017-08-25T03:01:12Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | IEEE Transactions on Wireless Communications, 2017, v. 16 n. 6, p. 3885-3898 | - |
dc.identifier.issn | 1536-1276 | - |
dc.identifier.uri | http://hdl.handle.net/10722/243917 | - |
dc.description.abstract | We design novel transmission strategies to maximize the energy efficiency (EE) of the uplink multi-user MIMO relay channel. In this channel, K multi-antenna users communicate with a multi-antenna base station (BS) through a multi-antenna relay. To achieve the goal of EE maximization, we propose new iterative algorithms to jointly optimize the multi-user precoder and the relay precoder under transmit power constraints for two cases. In the first case, the perfect global channel state information (CSI) is available, while in the second case, the CSI between the relay and the BS is imperfect. To surmount the non-convexity of our formulated EE optimization problems in both cases, we introduce the parameter subtractive function into the proposed algorithms. Then the EE parameter in the parameter subtractive function is updated by the Dinkelbach’s algorithm in the perfect CSI case, and by the bisection method in the imperfect CSI case. Moreover, in the perfect CSI case the relay precoder is optimized by the diagonalization operation and the multi-user precoder is optimized based on the weighted minimum mean square error method. Differently, in the imperfect CSI case we apply the sign-definiteness lemma to promote the semidefinite programming formulation of the EE optimization problem. Furthermore, we present numerical results to demonstrate that our proposed iterative algorithms have a good convergence rate in both cases. In addition, we show that our proposed iterative algorithms achieve a higher EE performance than the existing algorithms in both CSI cases. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7693 | - |
dc.relation.ispartof | IEEE Transactions on Wireless Communications | - |
dc.rights | IEEE Transactions on Wireless Communications. Copyright © IEEE. | - |
dc.rights | ©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | convex optimization | - |
dc.subject | Energy efficiency | - |
dc.subject | iterative algorithms | - |
dc.subject | multi-user MIMO | - |
dc.subject | relay channels | - |
dc.title | Energy efficient transmission in multi-user MIMO relay channels with perfect and imperfect channel state information | - |
dc.type | Article | - |
dc.identifier.email | Wu, YC: ycwu@eee.hku.hk | - |
dc.identifier.authority | Wu, YC=rp00195 | - |
dc.identifier.doi | 10.1109/TWC.2017.2689769 | - |
dc.identifier.scopus | eid_2-s2.0-85020898094 | - |
dc.identifier.hkuros | 274730 | - |
dc.identifier.volume | 16 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 3885 | - |
dc.identifier.epage | 3898 | - |
dc.identifier.isi | WOS:000403495400042 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1536-1276 | - |