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Delay Analysis of Wireless Fading Channels with Finite Blocklength Channel Coding
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-3595-2787
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-0150-2489
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0001-6682-6559
2015 (English)In: MSWiM '15 Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, New York: ACM Digital Library, 2015, 13-22 p.Conference paper, Published paper (Refereed)
Abstract [en]

Upcoming low-latency machine-to-machine (M2M) applications are currently attracting a significant amount of interest from the wireless networking research community. The design challenge with respect to such future applications is to allow wireless networks to operate extremely reliably at very short deadlines for rather small packets. To date, it is unclear how to design wireless networks efficiently for such novel requirements. One reason is that existing performance models for wireless networks often assume that the rate of the channel code is equal to the Shannon capacity. However, this model does not hold anymore when the packet size and thus blocklength of the channel code is small. Although it is known that finite blocklength has a major impact on the physical layer performance, we lack higher-layer performance models which account in particular for the queueing effects under the finite blocklength regime.

A recently developed methodology provides probabilistic higher-layer delay bounds for fading channels when assuming transmission at the Shannon capacity limit. Based on this novel approach, we develop service process characterizations for fading channels with finite blocklength channel coding, leading to novel probabilistic delay bounds that can give a fundamental insight into the capabilities and limitations of wireless networks when facing low-latency M2M applications. In particular, we show that the Shannon capacity model significantly overestimates the delay performance for such applications, which would lead to insufficient resource allocations. Finally, based on our (validated) analytical model, we study various important parameter trade-offs highlighting the sensitivity of the delay distribution under the finite blocklength regime.

Place, publisher, year, edition, pages
New York: ACM Digital Library, 2015. 13-22 p.
Keyword [en]
Finite blocklength regime, stochastic network calculus, quality of service, queueing systems, fading channels
National Category
Telecommunications
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-180299DOI: 10.1145/2811587.2811596ISI: 000380611300002Scopus ID: 2-s2.0-84949509237ISBN: 978-1-4503-3762-5 (print)OAI: oai:DiVA.org:kth-180299DiVA: diva2:892342
Conference
ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems 2015, November 2-6, 2015 Cancun,Mexico
Funder
ICT - The Next Generation
Note

Qc 20160323

Available from: 2016-01-10 Created: 2016-01-10 Last updated: 2016-09-20Bibliographically approved

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Al-Zubaidy, HusseinGross, James

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