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Achievable rate maximization for decode-and-forward MIMO–OFDM networks with an energy harvesting relay
This paper investigates the system achievable rate for the multiple-input multiple-output orthogonal frequency division multiplexing (MIMO–OFDM) system with an energy harvesting (EH) relay. Firstly we propose two protocols, time switching-based decode-and-forward relaying (TSDFR) and a flexible powe...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870576/ https://www.ncbi.nlm.nih.gov/pubmed/27330920 http://dx.doi.org/10.1186/s40064-016-2203-8 |
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author | Du, Guanyao Yu, Jianjun |
author_facet | Du, Guanyao Yu, Jianjun |
author_sort | Du, Guanyao |
collection | PubMed |
description | This paper investigates the system achievable rate for the multiple-input multiple-output orthogonal frequency division multiplexing (MIMO–OFDM) system with an energy harvesting (EH) relay. Firstly we propose two protocols, time switching-based decode-and-forward relaying (TSDFR) and a flexible power splitting-based DF relaying (PSDFR) protocol by considering two practical receiver architectures, to enable the simultaneous information processing and energy harvesting at the relay. In PSDFR protocol, we introduce a temporal parameter to describe the time division pattern between the two phases which makes the protocol more flexible and general. In order to explore the system performance limit, we discuss the system achievable rate theoretically and formulate two optimization problems for the proposed protocols to maximize the system achievable rate. Since the problems are non-convex and difficult to solve, we first analyze them theoretically and get some explicit results, then design an augmented Lagrangian penalty function (ALPF) based algorithm for them. Numerical results are provided to validate the accuracy of our analytical results and the effectiveness of the proposed ALPF algorithm. It is shown that, PSDFR outperforms TSDFR to achieve higher achievable rate in such a MIMO–OFDM relaying system. Besides, we also investigate the impacts of the relay location, the number of antennas and the number of subcarriers on the system performance. Specifically, it is shown that, the relay position greatly affects the system performance of both protocols, and relatively worse achievable rate is achieved when the relay is placed in the middle of the source and the destination. This is different from the MIMO–OFDM DF relaying system without EH. Moreover, the optimal factor which indicates the time division pattern between the two phases in the PSDFR protocol is always above 0.8, which means that, the common division of the total transmission time into two equal phases in previous work applying PS-based receiver is not optimal. |
format | Online Article Text |
id | pubmed-4870576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-48705762016-06-21 Achievable rate maximization for decode-and-forward MIMO–OFDM networks with an energy harvesting relay Du, Guanyao Yu, Jianjun Springerplus Research This paper investigates the system achievable rate for the multiple-input multiple-output orthogonal frequency division multiplexing (MIMO–OFDM) system with an energy harvesting (EH) relay. Firstly we propose two protocols, time switching-based decode-and-forward relaying (TSDFR) and a flexible power splitting-based DF relaying (PSDFR) protocol by considering two practical receiver architectures, to enable the simultaneous information processing and energy harvesting at the relay. In PSDFR protocol, we introduce a temporal parameter to describe the time division pattern between the two phases which makes the protocol more flexible and general. In order to explore the system performance limit, we discuss the system achievable rate theoretically and formulate two optimization problems for the proposed protocols to maximize the system achievable rate. Since the problems are non-convex and difficult to solve, we first analyze them theoretically and get some explicit results, then design an augmented Lagrangian penalty function (ALPF) based algorithm for them. Numerical results are provided to validate the accuracy of our analytical results and the effectiveness of the proposed ALPF algorithm. It is shown that, PSDFR outperforms TSDFR to achieve higher achievable rate in such a MIMO–OFDM relaying system. Besides, we also investigate the impacts of the relay location, the number of antennas and the number of subcarriers on the system performance. Specifically, it is shown that, the relay position greatly affects the system performance of both protocols, and relatively worse achievable rate is achieved when the relay is placed in the middle of the source and the destination. This is different from the MIMO–OFDM DF relaying system without EH. Moreover, the optimal factor which indicates the time division pattern between the two phases in the PSDFR protocol is always above 0.8, which means that, the common division of the total transmission time into two equal phases in previous work applying PS-based receiver is not optimal. Springer International Publishing 2016-05-17 /pmc/articles/PMC4870576/ /pubmed/27330920 http://dx.doi.org/10.1186/s40064-016-2203-8 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Du, Guanyao Yu, Jianjun Achievable rate maximization for decode-and-forward MIMO–OFDM networks with an energy harvesting relay |
title | Achievable rate maximization for decode-and-forward MIMO–OFDM networks with an energy harvesting relay |
title_full | Achievable rate maximization for decode-and-forward MIMO–OFDM networks with an energy harvesting relay |
title_fullStr | Achievable rate maximization for decode-and-forward MIMO–OFDM networks with an energy harvesting relay |
title_full_unstemmed | Achievable rate maximization for decode-and-forward MIMO–OFDM networks with an energy harvesting relay |
title_short | Achievable rate maximization for decode-and-forward MIMO–OFDM networks with an energy harvesting relay |
title_sort | achievable rate maximization for decode-and-forward mimo–ofdm networks with an energy harvesting relay |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870576/ https://www.ncbi.nlm.nih.gov/pubmed/27330920 http://dx.doi.org/10.1186/s40064-016-2203-8 |
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