Coverage Analysis for Backscatter Communication Empowered Cellular Internet-of-Things

Syed Ali Raza Zaidi; Maryam Hafeez; Des McLernon; Moe Z. Win

doi:10.23919/EUSIPCO.2019.8902543

Coverage Analysis for Backscatter Communication Empowered Cellular Internet-of-Things

Syed Ali Raza Zaidi, Maryam Hafeez, Des McLernon, Moe Z. Win

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

In this article, we develop a comprehensive framework to characterize the coverage probability of backscatter communication empowered cellular Internet-of-Things (IoT) sensor networks (SNs). The developed framework considers hierarchical cellular type deployment topology which is practically useful for various IoT applications. In contrast to existing studies, the framework is geared towards system level performance analysis. Our analysis explicitly considers the dyadic fading experienced by the links and spatial randomness of the network nodes. To ensure tractability of analysis, we develop novel closed-form bounds for quantifying the coverage probability of SNs. The developed framework is corroborated using Monte Carlo simulations. Lastly, we also demonstrate the impact of various underlying parameters and highlight the utility of the derived expressions for network dimensioning.

Original language	English
Title of host publication	Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2019)
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	9789082797039, 9789082797022
ISBN (Print)	9781538673003
DOIs	https://doi.org/10.23919/EUSIPCO.2019.8902543
Publication status	Published - 18 Nov 2019
Event	27th European Signal Processing Conference - A Coruna, Spain Duration: 2 Sept 2019 → 6 Sept 2019 Conference number: 27

Publication series

Name	European Signal Processing Conference
Publisher	IEEE
Volume	2019-September
ISSN (Print)	2219-5491
ISSN (Electronic)	2076-1465

Conference

Conference	27th European Signal Processing Conference
Abbreviated title	EUSIPCO 2019
Country/Territory	Spain
City	A Coruna
Period	2/09/19 → 6/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure

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10.23919/EUSIPCO.2019.8902543Licence: Unspecified

Cite this

@inproceedings{0371782d7fab4a549b317a510bd28ec8,

title = "Coverage Analysis for Backscatter Communication Empowered Cellular Internet-of-Things",

abstract = "In this article, we develop a comprehensive framework to characterize the coverage probability of backscatter communication empowered cellular Internet-of-Things (IoT) sensor networks (SNs). The developed framework considers hierarchical cellular type deployment topology which is practically useful for various IoT applications. In contrast to existing studies, the framework is geared towards system level performance analysis. Our analysis explicitly considers the dyadic fading experienced by the links and spatial randomness of the network nodes. To ensure tractability of analysis, we develop novel closed-form bounds for quantifying the coverage probability of SNs. The developed framework is corroborated using Monte Carlo simulations. Lastly, we also demonstrate the impact of various underlying parameters and highlight the utility of the derived expressions for network dimensioning.",

keywords = "Backscatter communication, Coverage probability, Dyadic fading, Poisson process, Stochastic geometry",

author = "Zaidi, \{Syed Ali Raza\} and Maryam Hafeez and Des McLernon and Win, \{Moe Z.\}",

year = "2019",

month = nov,

day = "18",

doi = "10.23919/EUSIPCO.2019.8902543",

language = "English",

isbn = "9781538673003",

series = "European Signal Processing Conference",

publisher = "IEEE",

booktitle = "Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2019)",

address = "United States",

note = "27th European Signal Processing Conference, EUSIPCO 2019 ; Conference date: 02-09-2019 Through 06-09-2019",

}

Zaidi, SAR, Hafeez, M, McLernon, D & Win, MZ 2019, Coverage Analysis for Backscatter Communication Empowered Cellular Internet-of-Things. in Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2019)., 8902543, European Signal Processing Conference, vol. 2019-September, IEEE, 27th European Signal Processing Conference, A Coruna, Spain, 2/09/19. https://doi.org/10.23919/EUSIPCO.2019.8902543

Coverage Analysis for Backscatter Communication Empowered Cellular Internet-of-Things. / Zaidi, Syed Ali Raza; Hafeez, Maryam; McLernon, Des et al.
Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2019). IEEE, 2019. 8902543 (European Signal Processing Conference; Vol. 2019-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Coverage Analysis for Backscatter Communication Empowered Cellular Internet-of-Things

AU - Zaidi, Syed Ali Raza

AU - Hafeez, Maryam

AU - McLernon, Des

AU - Win, Moe Z.

N1 - Conference code: 27

PY - 2019/11/18

Y1 - 2019/11/18

N2 - In this article, we develop a comprehensive framework to characterize the coverage probability of backscatter communication empowered cellular Internet-of-Things (IoT) sensor networks (SNs). The developed framework considers hierarchical cellular type deployment topology which is practically useful for various IoT applications. In contrast to existing studies, the framework is geared towards system level performance analysis. Our analysis explicitly considers the dyadic fading experienced by the links and spatial randomness of the network nodes. To ensure tractability of analysis, we develop novel closed-form bounds for quantifying the coverage probability of SNs. The developed framework is corroborated using Monte Carlo simulations. Lastly, we also demonstrate the impact of various underlying parameters and highlight the utility of the derived expressions for network dimensioning.

AB - In this article, we develop a comprehensive framework to characterize the coverage probability of backscatter communication empowered cellular Internet-of-Things (IoT) sensor networks (SNs). The developed framework considers hierarchical cellular type deployment topology which is practically useful for various IoT applications. In contrast to existing studies, the framework is geared towards system level performance analysis. Our analysis explicitly considers the dyadic fading experienced by the links and spatial randomness of the network nodes. To ensure tractability of analysis, we develop novel closed-form bounds for quantifying the coverage probability of SNs. The developed framework is corroborated using Monte Carlo simulations. Lastly, we also demonstrate the impact of various underlying parameters and highlight the utility of the derived expressions for network dimensioning.

KW - Backscatter communication

KW - Coverage probability

KW - Dyadic fading

KW - Poisson process

KW - Stochastic geometry

UR - https://www.scopus.com/pages/publications/85075594568

U2 - 10.23919/EUSIPCO.2019.8902543

DO - 10.23919/EUSIPCO.2019.8902543

M3 - Conference contribution

AN - SCOPUS:85075594568

SN - 9781538673003

T3 - European Signal Processing Conference

BT - Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2019)

PB - IEEE

T2 - 27th European Signal Processing Conference

Y2 - 2 September 2019 through 6 September 2019

ER -

Coverage Analysis for Backscatter Communication Empowered Cellular Internet-of-Things

Abstract

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UN SDGs

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