Outage Analysis and Learning-Based Relay Selection for Opportunistic Lossy Forwarding Relaying Systems

In this paper, we study an opportunistic decode-and-forward (DF) system allowing intra-link errors, referred as opportunistic lossy-forwarding (OLF) system. Multiple relays are available but only one "best relay" is selected to forward the decoded information to the destination. The forwar...

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Published in:	IEEE access Vol. 8; pp. 104386 - 104395
Main Authors:	Zhang, Haiyang, Zhang, Zhiwei
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Cooperative communications Correlation Decoding diversity order Diversity reception Erbium lossy forwarding Machine learning opportunistic relay outage performance Power system reliability Probability Relay Relaying relaying protocol Relays Statistical analysis
ISSN:	2169-3536, 2169-3536
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Abstract	In this paper, we study an opportunistic decode-and-forward (DF) system allowing intra-link errors, referred as opportunistic lossy-forwarding (OLF) system. Multiple relays are available but only one "best relay" is selected to forward the decoded information to the destination. The forwarded information may be erroneous. The relay selection strategy is built using source coding with a helper theorem. We evaluate the outage probability of OLF relaying system, and derive an approximated theoretical outage probability bound. For practical deployment, a statistical learning algorithm for selection relay is designed. The practical performance loss is negligible compared to the optimal selection case. The OLF system outperforms the existing opportunistic DF system in terms of outage performance. Both theoretical and numerical results show that full diversity can be achieved. Finally, we investigate the position of deploying relays by minimizing the outage probability from simulation results.
AbstractList	In this paper, we study an opportunistic decode-and-forward (DF) system allowing intra-link errors, referred as opportunistic lossy-forwarding (OLF) system. Multiple relays are available but only one “best relay” is selected to forward the decoded information to the destination. The forwarded information may be erroneous. The relay selection strategy is built using source coding with a helper theorem. We evaluate the outage probability of OLF relaying system, and derive an approximated theoretical outage probability bound. For practical deployment, a statistical learning algorithm for selection relay is designed. The practical performance loss is negligible compared to the optimal selection case. The OLF system outperforms the existing opportunistic DF system in terms of outage performance. Both theoretical and numerical results show that full diversity can be achieved. Finally, we investigate the position of deploying relays by minimizing the outage probability from simulation results.
Author	Zhang, Zhiwei Zhang, Haiyang
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SubjectTerms	Algorithms Cooperative communications Correlation Decoding diversity order Diversity reception Erbium lossy forwarding Machine learning opportunistic relay outage performance Power system reliability Probability Relay Relaying relaying protocol Relays Statistical analysis
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Title	Outage Analysis and Learning-Based Relay Selection for Opportunistic Lossy Forwarding Relaying Systems
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