Wireless Channel Modeling Perspectives for Ultra-Reliable Communications

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Abstract

Ultra-Reliable Communication (URC) is one of the distinctive features of the upcoming 5G wireless communication, going down to packet error rates (PER) of
10^-9. In this paper we analyze the tail of the Cumulative Distribution Function (CDF) of block fading channels in the regime of extremely rare events, i.e., the ultra-reliable (UR) regime of operation. Our main contribution consists of providing a unified framework for statistical description of wide range of practically important wireless channel models in the UR regime of operation. Specifically, we show that the wireless channel behavior
in this regime can be approximated by a simple power law
expression, whose exponent and offset depend on the actual channel model. The unification provides a channel-agnostic tool for analyzing and performance optimization of radio systems that operate in the UR regime. Furthermore, the unified model is particularly useful in emerging measurement campaigns for empirical characterization of wireless channels in the regime of low outages. Finally, the asymptotic analysis can serve as an underlying building block for designing more elaborate, higher-layer technologies for URC. We showcase this by applying the power law results to analyze the performance of receiver diversity schemes and obtain a new simplified expression for Maximum Ratio Combining (MRC) that can be used to analyze multiple antenna wireless systems in an UR regime.
Original languageEnglish
JournalIEEE Transactions on Wireless Communications
Volume18
Issue number4
Pages (from-to)2229-2243
Number of pages15
ISSN1536-1276
DOIs
Publication statusPublished - Apr 2019

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Channel Modeling
Channel Model
Communication
Multiple Antennas
Rare Events
Performance Optimization
Cumulative distribution function
Fading Channels
Unification
Wireless Communication
Asymptotic Analysis
Asymptotic analysis
Building Blocks
Radio systems
Error Rate
Tail
Power Law
Receiver
Outages
Fading channels

Keywords

  • Ultra-reliable communications, 5G, wireless channel models, fading, diversity, probability tail approximations, rare events

Cite this

@article{3f1a86c6d7434457b4456f081630bd3f,
title = "Wireless Channel Modeling Perspectives for Ultra-Reliable Communications",
abstract = "Ultra-Reliable Communication (URC) is one of the distinctive features of the upcoming 5G wireless communication, going down to packet error rates (PER) of10^-9. In this paper we analyze the tail of the Cumulative Distribution Function (CDF) of block fading channels in the regime of extremely rare events, i.e., the ultra-reliable (UR) regime of operation. Our main contribution consists of providing a unified framework for statistical description of wide range of practically important wireless channel models in the UR regime of operation. Specifically, we show that the wireless channel behaviorin this regime can be approximated by a simple power lawexpression, whose exponent and offset depend on the actual channel model. The unification provides a channel-agnostic tool for analyzing and performance optimization of radio systems that operate in the UR regime. Furthermore, the unified model is particularly useful in emerging measurement campaigns for empirical characterization of wireless channels in the regime of low outages. Finally, the asymptotic analysis can serve as an underlying building block for designing more elaborate, higher-layer technologies for URC. We showcase this by applying the power law results to analyze the performance of receiver diversity schemes and obtain a new simplified expression for Maximum Ratio Combining (MRC) that can be used to analyze multiple antenna wireless systems in an UR regime.",
keywords = "Ultra-reliable communications, 5G, wireless channel models, fading, diversity, probability tail approximations, rare events",
author = "Eggers, {Patrick Claus F.} and Marko Angjelichinoski and Petar Popovski",
year = "2019",
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language = "English",
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pages = "2229--2243",
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Wireless Channel Modeling Perspectives for Ultra-Reliable Communications. / Eggers, Patrick Claus F.; Angjelichinoski, Marko; Popovski, Petar.

In: IEEE Transactions on Wireless Communications, Vol. 18, No. 4, 04.2019, p. 2229-2243.

Research output: Contribution to journalJournal articleResearchpeer-review

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AB - Ultra-Reliable Communication (URC) is one of the distinctive features of the upcoming 5G wireless communication, going down to packet error rates (PER) of10^-9. In this paper we analyze the tail of the Cumulative Distribution Function (CDF) of block fading channels in the regime of extremely rare events, i.e., the ultra-reliable (UR) regime of operation. Our main contribution consists of providing a unified framework for statistical description of wide range of practically important wireless channel models in the UR regime of operation. Specifically, we show that the wireless channel behaviorin this regime can be approximated by a simple power lawexpression, whose exponent and offset depend on the actual channel model. The unification provides a channel-agnostic tool for analyzing and performance optimization of radio systems that operate in the UR regime. Furthermore, the unified model is particularly useful in emerging measurement campaigns for empirical characterization of wireless channels in the regime of low outages. Finally, the asymptotic analysis can serve as an underlying building block for designing more elaborate, higher-layer technologies for URC. We showcase this by applying the power law results to analyze the performance of receiver diversity schemes and obtain a new simplified expression for Maximum Ratio Combining (MRC) that can be used to analyze multiple antenna wireless systems in an UR regime.

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