NDLI: Impact of self-similarity on the go-back-N ARQ protocols

Content Provider	IEEE Xplore Digital Library
Author	Wang, J.L.
Copyright Year	1995
Description	Author affiliation: Bellcore, Red Bank, NJ, USA (Wang, J.L.)
Abstract	Packet traffic exhibits fractal or self-similar properties which are fundamentally different from features found in circuit switched voice traffic and captured by commonly used theoretical traffic models. These fractal properties are associated with the burstiness of packet traffic. In this paper we examine the impact of self-similarity on the link-layer error control mechanism, in particular, the most commonly used go-back-N automatic-repeat-request (ARQ) protocols. Our analysis indicates that in terms of the maximum throughput efficiency, the go-back-a protocol does achieve higher efficiency under the self-similar errors compared to the random error model. We also see that, assuming the underlying channel error process is self-similar, the Gilbert's 2-state error model does not predict the maximum throughput efficiency well; even with the parameter matching technique, we showed that the Gilbert's model only matches the maximum throughput efficiency well when the ratio of propagation delay to the frame transmission time is small. Self-similar traffic has higher delay compared to Poisson traffic for a given error model. For a given traffic stream, we see that the delay performance predicted by the conventional error models does not match the performance based on the self-similar error model. This suggests that conventional error models cannot capture the behavior of the go-back-N ARQ system performance. In general, with self-similar traffic and/or self-similar errors, network engineering needs to be more conservative than that based on conventional traffic and/or error models.
Starting Page	250
Ending Page	257
File Size	834574
Page Count	8
File Format	PDF
ISBN	0818671807
DOI	10.1109/ICCCN.1995.540126
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-09-20
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automatic repeat request Protocols Traffic control Predictive models Throughput Fractals Delay Telecommunication traffic Switching circuits Packet switching
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Effectiveness of copy-transmission in Go-Back-N ARQ system with selective repeat in intra-block and with limited retransmissions

Performance of ARQ go-back-N protocol in Markov channels with unreliable feedback: delay analysis

The Stutter Go Back-N ARQ Protocol

Delay minimization of the adaptive go-back-N ARQ protocols for point-to-multipoint communication

Throughput Analysis of Go-Back-N ARQ Protocol under Markovian Interruptions

Impact of self-similarity on wireless data network performance

The Queueing Delay Analysis at Relay Node Based on Cooperative GBN-ARQ Protocols

The throughput efficiency of go-back-N ARQ scheme for burst-error channels

Throughput of Hybrid ARQ Types for UTRA TDD mode

Impact of self-similarity on the go-back-N ARQ protocols

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