Wireless Channel Modeling Perspectives for Ultra-Reliable Low Latency Communications

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Abstract

Ultra-Reliable Low Latency Communication (URLLC) 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 discuss the properties and statistical behavior of number of wireless channel models in the operational regime that is relevant for URLLC applications. In particular, we analyze the tail of the Cumulative Distribution Function (CDF) of block fading channels in the regime of extremely rare events and show that, for a wide range of channel models, the outage probability can be approximated by a simple power law expression, whose exponent and offset depend on the actual channel model. Besides their
practical significance in terms of characterizing the wireless channel via only two parameters, the tail approximations also provide an insightful tool for immediate qualitative characterization and comparison of wireless channel models in URLLC applications. We apply our power law approximation results to analyze the performance of receiver diversity schemes and obtain a new simplified expression for Maximum Ratio Combining.
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Ultra-Reliable Low Latency Communication (URLLC) 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 discuss the properties and statistical behavior of number of wireless channel models in the operational regime that is relevant for URLLC applications. In particular, we analyze the tail of the Cumulative Distribution Function (CDF) of block fading channels in the regime of extremely rare events and show that, for a wide range of channel models, the outage probability can be approximated by a simple power law expression, whose exponent and offset depend on the actual channel model. Besides their
practical significance in terms of characterizing the wireless channel via only two parameters, the tail approximations also provide an insightful tool for immediate qualitative characterization and comparison of wireless channel models in URLLC applications. We apply our power law approximation results to analyze the performance of receiver diversity schemes and obtain a new simplified expression for Maximum Ratio Combining.
Original languageEnglish
JournalIEEE Transactions on Wireless Communications
ISSN1536-1276
StateSubmitted - 2018
Publication categoryResearch
Peer-reviewedYes

    Research areas

  • Ultra-reliable communications, 5G, wireless channel models, fading, diversity, probability tail approximations, rare events
ID: 257018669