A new trellis model for MAC layer cooperative retransmission protocols

Ni, W; Abolhasan, M; Hagelstein, B; Liu, RP; Wang, X

A new trellis model for MAC layer cooperative retransmission protocols

Ni, W

Abolhasan, M

Hagelstein, B Liu, RP

Wang, X

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Vehicular Technology, 2017, 66 (4), pp. 3448 - 3461
Issue Date:: 2017-04-01

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Field	Value	Language
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X	en_US
dc.contributor.author	Abolhasan, M https://orcid.org/0000-0002-4282-6666	en_US
dc.contributor.author	Hagelstein, B	en_US
dc.contributor.author	Liu, RP https://orcid.org/0000-0001-7001-6305	en_US
dc.contributor.author	Wang, X	en_US
dc.date.issued	2017-04-01	en_US
dc.identifier.citation	IEEE Transactions on Vehicular Technology, 2017, 66 (4), pp. 3448 - 3461	en_US
dc.identifier.issn	0018-9545	en_US
dc.identifier.uri	http://hdl.handle.net/10453/60626
dc.description.abstract	© 1967-2012 IEEE. Comparison studies on timer-based distributed cooperative retransmission protocols are challenging, given a variety of backoff techniques. We propose a new unified model, which can characterize a wide range of cooperative retransmission protocols. The key idea is a new trellis diagram that extrapolates the retransmission probabilities in each timeslot to the entire cooperative process. Following the trellis, performance metrics, such as success rate and collision intensity, can be derived in a structured manner. The new trellis model, coupled with Markov techniques, can be also extended to analyze the distributed binary exponential backoff processes of cooperative retransmissions. Confirmed by simulations, the proposed trellis model accurately reveals the impact of the relays' relative locations and density on different protocols. Our model also has the potential to be used as a management tool to adaptively configure protocol parameters.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0879507
dc.relation.ispartof	IEEE Transactions on Vehicular Technology	en_US
dc.relation.isbasedon	10.1109/TVT.2016.2594280	en_US
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject.classification	Automobile Design & Engineering	en_US
dc.title	A new trellis model for MAC layer cooperative retransmission protocols	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	66	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0803 Computer Software	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	10 Technology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	in_progress	*
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	66	en_US

Abstract:

© 1967-2012 IEEE. Comparison studies on timer-based distributed cooperative retransmission protocols are challenging, given a variety of backoff techniques. We propose a new unified model, which can characterize a wide range of cooperative retransmission protocols. The key idea is a new trellis diagram that extrapolates the retransmission probabilities in each timeslot to the entire cooperative process. Following the trellis, performance metrics, such as success rate and collision intensity, can be derived in a structured manner. The new trellis model, coupled with Markov techniques, can be also extended to analyze the distributed binary exponential backoff processes of cooperative retransmissions. Confirmed by simulations, the proposed trellis model accurately reveals the impact of the relays' relative locations and density on different protocols. Our model also has the potential to be used as a management tool to adaptively configure protocol parameters.

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http://hdl.handle.net/10453/60626