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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Main Authors: Hui Sun, Mort Naraghi-Pour, Weixing Sheng, Renli Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
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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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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