Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks

Rajalekshmi Kishore; Sanjeev Gurugopinath; Paschalis C. Sofotasios; Sami Muhaidat; Naofal Al-Dhahir

doi:10.1109/WCNC.2019.8885633

Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks

Rajalekshmi Kishore
, Sanjeev Gurugopinath
, Paschalis C. Sofotasios
, Sami Muhaidat
, Naofal Al-Dhahir

Electrical Engineering

PES University
University of Texas at Dallas

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

2 Scopus citations

Abstract

We propose a novel opportunistic ambient backscatter communication (ABC) framework for radio frequency (RF)-powered cognitive radio (CR) networks. The proposed framework considers opportunistic spectrum sensing integrated with ABC and harvest-then-transmit (HTT) operation strategies. Novel analytic expressions are derived for the average throughput, average energy consumption and energy efficiency in the considered set up. In addition, we formulate an optimization problem to maximize the energy efficiency of the CR system operating in mixed ABC- and HTT-modes, subject to primary interference and energy harvesting constraints. Next, we determine the optimal set of parameters which in turn comprise the optimal detection threshold, and the optimal degree of tradeoff between the CR system operating in the ABC- and HTT-modes. We present extensive numerical results to corroborate our analysis and to demonstrate the performance gain of the proposed model in terms of energy efficiency.

Original language	British English
Title of host publication	2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538676462
DOIs	https://doi.org/10.1109/WCNC.2019.8885633
State	Published - Apr 2019
Event	2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 - Marrakesh, Morocco Duration: 15 Apr 2019 → 19 Apr 2019

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
Volume	2019-April
ISSN (Print)	1525-3511

Conference

Conference	2019 IEEE Wireless Communications and Networking Conference, WCNC 2019
Country/Territory	Morocco
City	Marrakesh
Period	15/04/19 → 19/04/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/WCNC.2019.8885633

OpenUrl availability

Full text

Cite this

Kishore, R., Gurugopinath, S., Sofotasios, P. C., Muhaidat, S., & Al-Dhahir, N. (2019). Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks. In 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 Article 8885633 (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2019-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2019.8885633

@inproceedings{051c6a38080d4cb28c02e04fed86c3b7,

title = "Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks",

abstract = "We propose a novel opportunistic ambient backscatter communication (ABC) framework for radio frequency (RF)-powered cognitive radio (CR) networks. The proposed framework considers opportunistic spectrum sensing integrated with ABC and harvest-then-transmit (HTT) operation strategies. Novel analytic expressions are derived for the average throughput, average energy consumption and energy efficiency in the considered set up. In addition, we formulate an optimization problem to maximize the energy efficiency of the CR system operating in mixed ABC- and HTT-modes, subject to primary interference and energy harvesting constraints. Next, we determine the optimal set of parameters which in turn comprise the optimal detection threshold, and the optimal degree of tradeoff between the CR system operating in the ABC- and HTT-modes. We present extensive numerical results to corroborate our analysis and to demonstrate the performance gain of the proposed model in terms of energy efficiency.",

author = "Rajalekshmi Kishore and Sanjeev Gurugopinath and Sofotasios, \{Paschalis C.\} and Sami Muhaidat and Naofal Al-Dhahir",

note = "Funding Information: ACKNOWLEDGMENT This work was supported in part by Khalifa University under Grant No. KU/RC1-C2PS-T2/8474000137 and Grant No. KU/FSU-8474000122. Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 ; Conference date: 15-04-2019 Through 19-04-2019",

year = "2019",

month = apr,

doi = "10.1109/WCNC.2019.8885633",

language = "British English",

series = "IEEE Wireless Communications and Networking Conference, WCNC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 IEEE Wireless Communications and Networking Conference, WCNC 2019",

address = "United States",

}

Kishore, R, Gurugopinath, S, Sofotasios, PC , Muhaidat, S & Al-Dhahir, N 2019, Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks. in 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019., 8885633, IEEE Wireless Communications and Networking Conference, WCNC, vol. 2019-April, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019, Marrakesh, Morocco, 15/04/19. https://doi.org/10.1109/WCNC.2019.8885633

Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks. / Kishore, Rajalekshmi; Gurugopinath, Sanjeev; Sofotasios, Paschalis C. et al.
2019 IEEE Wireless Communications and Networking Conference, WCNC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8885633 (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2019-April).

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

TY - GEN

T1 - Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks

AU - Kishore, Rajalekshmi

AU - Gurugopinath, Sanjeev

AU - Sofotasios, Paschalis C.

AU - Muhaidat, Sami

AU - Al-Dhahir, Naofal

N1 - Funding Information: ACKNOWLEDGMENT This work was supported in part by Khalifa University under Grant No. KU/RC1-C2PS-T2/8474000137 and Grant No. KU/FSU-8474000122. Publisher Copyright: © 2019 IEEE.

PY - 2019/4

Y1 - 2019/4

N2 - We propose a novel opportunistic ambient backscatter communication (ABC) framework for radio frequency (RF)-powered cognitive radio (CR) networks. The proposed framework considers opportunistic spectrum sensing integrated with ABC and harvest-then-transmit (HTT) operation strategies. Novel analytic expressions are derived for the average throughput, average energy consumption and energy efficiency in the considered set up. In addition, we formulate an optimization problem to maximize the energy efficiency of the CR system operating in mixed ABC- and HTT-modes, subject to primary interference and energy harvesting constraints. Next, we determine the optimal set of parameters which in turn comprise the optimal detection threshold, and the optimal degree of tradeoff between the CR system operating in the ABC- and HTT-modes. We present extensive numerical results to corroborate our analysis and to demonstrate the performance gain of the proposed model in terms of energy efficiency.

AB - We propose a novel opportunistic ambient backscatter communication (ABC) framework for radio frequency (RF)-powered cognitive radio (CR) networks. The proposed framework considers opportunistic spectrum sensing integrated with ABC and harvest-then-transmit (HTT) operation strategies. Novel analytic expressions are derived for the average throughput, average energy consumption and energy efficiency in the considered set up. In addition, we formulate an optimization problem to maximize the energy efficiency of the CR system operating in mixed ABC- and HTT-modes, subject to primary interference and energy harvesting constraints. Next, we determine the optimal set of parameters which in turn comprise the optimal detection threshold, and the optimal degree of tradeoff between the CR system operating in the ABC- and HTT-modes. We present extensive numerical results to corroborate our analysis and to demonstrate the performance gain of the proposed model in terms of energy efficiency.

UR - https://www.scopus.com/pages/publications/85074769341

U2 - 10.1109/WCNC.2019.8885633

DO - 10.1109/WCNC.2019.8885633

M3 - Conference contribution

AN - SCOPUS:85074769341

T3 - IEEE Wireless Communications and Networking Conference, WCNC

BT - 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019

Y2 - 15 April 2019 through 19 April 2019

ER -

Kishore R, Gurugopinath S, Sofotasios PC , Muhaidat S, Al-Dhahir N. Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks. In 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8885633. (IEEE Wireless Communications and Networking Conference, WCNC). doi: 10.1109/WCNC.2019.8885633

Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks

Abstract

Publication series

Conference

UN SDGs

Access to Document

OpenUrl availability

Other files and links

Fingerprint

Cite this