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International Journal of Computer Science Engineering Techniques(ijcse)

Title : Predicting Wireless Channels For Ultra-Reliable Low-Latency Communications

ISSN : 2455-135X

Year of Publication : 2020

10.29126/2455135X/IJCSE-V5I2P3

- Authors :

Dr.E.Punarselvam, E. Hemalatha2J. Dhivahar, V. Gowtham, V. Hari, R. Thamaraikannan





MLA Style: Dr.E.Punarselvam, E. Hemalatha2J. Dhivahar, V. Gowtham, V. Hari, R. Thamaraikannan, "Predicting Wireless Channels For Ultra-Reliable Low-Latency Communications" Volume 5 - Issue 2 March - April,2020 International Journal of Computer Science Engineering Techniques (IJCSE), ISSN:2455-135X, www.ijcsejournal.org

APA Style:

Dr.E.Punarselvam, E. Hemalatha2J. Dhivahar, V. Gowtham, V. Hari, R. Thamaraikannan, "Predicting Wireless Channels For Ultra-Reliable Low-Latency Communications " Volume 5 - Issue 2 March - April,2020 International Journal of Computer Science Engineering Techniques (IJCSE), ISSN:2455-135X, www.ijcsejournal.org



Abstract

Ultra-reliable, low-latency wireless communication is essential to enable critical and interactive applications. The cooperative communication schemes for such ultra-reliable communication must harvest multi-user diversity to achieve their specifications. Ultra-Reliable Communication (URC) is one of the distinctive features of the upcoming 5G wireless communication, characterized by packet error rates (PER) going down to 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. The main insights from the analysis can be summarized as follows: (1) the two-wave model and the impact of shadowing in combined models lead to pessimistic predictions of the fading in the URLLC region; (2) the CDFs of models that contain single cluster diffuse components have slopes that correspond to the slope of a Rayleigh fading, and (3) multi-cluster diffuse components can result in different slopes. The paper also touches upon the important question of the proper statistical methodology for designing and assessing extremely high reliability levels.


Reference

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Keywords

Ultra-Reliable Communication, Ultra-Reliable Low-Latency Communications, Packet Error Rates, Cumulative Distribution Function