A Hop-by-Hop Relay Selection Strategy in Multi-Hop Cognitive Relay Networks
In this paper, a hop-by-hop relay selection strategy for multi-hop underlay cognitive relay networks (CRNs) is proposed. In each stage, relays that successfully decode the message from previous hop form a decoding set. Taking both maximum transmit power and maximum interference constraints into cons...
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IEEE
2020-01-01
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Online Access: | https://ieeexplore.ieee.org/document/8968363/ |
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author | Hui Sun Mort Naraghi-Pour Weixing Sheng Renli Zhang |
author_facet | Hui Sun Mort Naraghi-Pour Weixing Sheng Renli Zhang |
author_sort | Hui Sun |
collection | DOAJ |
description | In this paper, a hop-by-hop relay selection strategy for multi-hop underlay cognitive relay networks (CRNs) is proposed. In each stage, relays that successfully decode the message from previous hop form a decoding set. Taking both maximum transmit power and maximum interference constraints into consideration, the relay in the decoding set which has the largest number of channels with an acceptable signal-to-noise ratio (SNR) level to the relays in the next stage is selected for retransmission. Therefore, relay selection in each stage only relies on channel state information (CSI) of the channels in that stage and does not require the CSI of any other stage. We analyze the performance of the proposed strategy in terms of end-to-end outage probability and throughput, and show that the results match those obtained from simulation closely. Moreover, we derive the asymptotic end-to-end outage probability of the proposed strategy when there is no upper bound on transmitters' power. We compare this strategy to other hop-by-hop strategies that have appeared recently in the literature and show that this strategy has the best performance in terms of outage probability and throughput. Finally it is shown that the outage probability and throughput of the proposed strategy are very close to that of exhaustive strategy which provides a lower bound for outage probability and an upper bound for throughput of all path selection strategies. |
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id | doaj.art-70c5968344e14429a7d53f3538033abb |
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issn | 2169-3536 |
language | English |
last_indexed | 2024-12-13T11:16:30Z |
publishDate | 2020-01-01 |
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spelling | doaj.art-70c5968344e14429a7d53f3538033abb2022-12-21T23:48:36ZengIEEEIEEE Access2169-35362020-01-018211172112610.1109/ACCESS.2020.29692328968363A Hop-by-Hop Relay Selection Strategy in Multi-Hop Cognitive Relay NetworksHui Sun0https://orcid.org/0000-0001-9046-5191Mort Naraghi-Pour1https://orcid.org/0000-0003-1300-8733Weixing Sheng2https://orcid.org/0000-0001-7262-9607Renli Zhang3https://orcid.org/0000-0002-8011-7940School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaDivision of Electrical and Computer Engineering, School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA, USASchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaIn this paper, a hop-by-hop relay selection strategy for multi-hop underlay cognitive relay networks (CRNs) is proposed. In each stage, relays that successfully decode the message from previous hop form a decoding set. Taking both maximum transmit power and maximum interference constraints into consideration, the relay in the decoding set which has the largest number of channels with an acceptable signal-to-noise ratio (SNR) level to the relays in the next stage is selected for retransmission. Therefore, relay selection in each stage only relies on channel state information (CSI) of the channels in that stage and does not require the CSI of any other stage. We analyze the performance of the proposed strategy in terms of end-to-end outage probability and throughput, and show that the results match those obtained from simulation closely. Moreover, we derive the asymptotic end-to-end outage probability of the proposed strategy when there is no upper bound on transmitters' power. We compare this strategy to other hop-by-hop strategies that have appeared recently in the literature and show that this strategy has the best performance in terms of outage probability and throughput. Finally it is shown that the outage probability and throughput of the proposed strategy are very close to that of exhaustive strategy which provides a lower bound for outage probability and an upper bound for throughput of all path selection strategies.https://ieeexplore.ieee.org/document/8968363/Cognitive radiodecode-and-forwardmulti-hop relay networksoutage probabilityrelay selection |
spellingShingle | Hui Sun Mort Naraghi-Pour Weixing Sheng Renli Zhang A Hop-by-Hop Relay Selection Strategy in Multi-Hop Cognitive Relay Networks IEEE Access Cognitive radio decode-and-forward multi-hop relay networks outage probability relay selection |
title | A Hop-by-Hop Relay Selection Strategy in Multi-Hop Cognitive Relay Networks |
title_full | A Hop-by-Hop Relay Selection Strategy in Multi-Hop Cognitive Relay Networks |
title_fullStr | A Hop-by-Hop Relay Selection Strategy in Multi-Hop Cognitive Relay Networks |
title_full_unstemmed | A Hop-by-Hop Relay Selection Strategy in Multi-Hop Cognitive Relay Networks |
title_short | A Hop-by-Hop Relay Selection Strategy in Multi-Hop Cognitive Relay Networks |
title_sort | hop by hop relay selection strategy in multi hop cognitive relay networks |
topic | Cognitive radio decode-and-forward multi-hop relay networks outage probability relay selection |
url | https://ieeexplore.ieee.org/document/8968363/ |
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