Fundamental Relations Between Reactive and Proactive Relay-Selection Strategies
Two major relay-selection strategies widely applied in cooperative decode-and-forward (DF) relaying networks, namely, reactive relay selection (RRS) and proactive relay selection (PRS), are generally looked upon as independent and studied separately. In this paper, RRS and PRS are proven to be equiv...
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Published in | IEEE communications letters Vol. 19; no. 7; pp. 1249 - 1252 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.07.2015
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Subjects | |
Online Access | Get full text |
ISSN | 1089-7798 |
DOI | 10.1109/LCOMM.2015.2418780 |
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Abstract | Two major relay-selection strategies widely applied in cooperative decode-and-forward (DF) relaying networks, namely, reactive relay selection (RRS) and proactive relay selection (PRS), are generally looked upon as independent and studied separately. In this paper, RRS and PRS are proven to be equivalent with respect to the end-to-end outage probability from the first principle, i.e., their respective relay-selection criteria. On the other hand, RRS is shown to be superior to PRS with respect to the end-to-end symbol error rate. Afterwards, a case study of a general DF relaying system, subject to co-channel interferences and additive white Gaussian noise at both the relaying nodes and the destination, is performed to explicitly illustrate the aforementioned outage equivalence. These fundamental relations provide intuitive yet insightful performance benchmarks for comparing various applications of these two relay-selection strategies. |
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AbstractList | Two major relay-selection strategies widely applied in cooperative decode-and-forward (DF) relaying networks, namely, reactive relay selection (RRS) and proactive relay selection (PRS), are generally looked upon as independent and studied separately. In this paper, RRS and PRS are proven to be equivalent with respect to the end-to-end outage probability from the first principle, i.e., their respective relay-selection criteria. On the other hand, RRS is shown to be superior to PRS with respect to the end-to-end symbol error rate. Afterwards, a case study of a general DF relaying system, subject to co-channel interferences and additive white Gaussian noise at both the relaying nodes and the destination, is performed to explicitly illustrate the aforementioned outage equivalence. These fundamental relations provide intuitive yet insightful performance benchmarks for comparing various applications of these two relay-selection strategies. |
Author | Minghua Xia Aissa, Sonia |
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Cites_doi | 10.1109/TWC.2007.06020050 10.1109/PIMRC.2009.5450016 10.1109/WCL.2012.120312.120718 10.1109/TWC.2009.080383 10.1109/TIT.2004.838089 10.1109/TCOMM.2010.03.080156 10.1109/TVT.2013.2267806 10.1109/TWC.2009.080420 10.1109/WCL.2013.061213.130313 10.1109/TVT.2014.2359175 10.1109/LCOMM.2013.090213.131493 |
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Keywords | proactive relay selection (PRS) reactive relay selection (RRS) Decode-and-forward (DF) relaying |
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SubjectTerms | Decode-and-forward (DF) relaying Decoding Error analysis Fading Interference Nakagami distribution proactive relay selection (PRS) reactive relay selection (RRS) Relays Signal to noise ratio |
Title | Fundamental Relations Between Reactive and Proactive Relay-Selection Strategies |
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