Superior selective reporting-based spectrum sensing in energy harvesting-aided HCRNs

Rajalekshmi Kishore; Sanjeev Gurugopinath; Sami Muhaidat; Paschalis C. Sofotasios; Kahtan Mezher; Octavia A. Dobre; Naofal Al-Dhahir

doi:10.1109/COMMNET.2019.8742385

Superior selective reporting-based spectrum sensing in energy harvesting-aided HCRNs

Rajalekshmi Kishore, Sanjeev Gurugopinath, Sami Muhaidat, Paschalis C. Sofotasios, Kahtan Mezher, Octavia A. Dobre, Naofal Al-Dhahir

Electrical Engineering

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

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Abstract

In the present contribution we investigate the performance of superior selective reporting (SSR) for cooperative spectrum sensing in an energy harvesting-enabled multi-channel heterogeneous cognitive radio network (HCRN). To this end, we first analyze the throughput of the SSR and the optimal conventional cooperative sensing (CCS). Then, we formulate a nonlinear integer programming problem to find a throughput-optimal set of spectrum sensors scheduled to sense a particular channel, under primary user (PU) interference and energy harvesting constraints. In this context, we derive a solution based on the cross entropy (CE) method, and compare its performance with the exhaustive-search method counterpart. Furthermore, we study the tradeoff between the channel available time and detection accuracy of the SSR and CCS schemes. It is shown that this inherent tradeoff is between the channel available time and the detection accuracy. Furthermore, it is shown that as the number of spectrum sensors increases, the channel available time turns out to be the system's limiting factor in HCRNs.

Original language	English
Title of host publication	2019 International Conference on Advanced Communication Technologies and Networking, CommNet 2019
Editors	Faissal El Bouanani, Paschalis C. Sofotasios, Daniel Benevides da Costa, Paschalis C. Sofotasios, Fouad Ayoub
Publisher	IEEE
ISBN (Electronic)	9781538683170
DOIs	https://doi.org/10.1109/COMMNET.2019.8742385
Publication status	Published - 1 Apr 2019
Publication type	A4 Article in conference proceedings
Event	International Conference on Advanced Communication Technologies and Networking - Rabat, Morocco Duration: 12 Apr 2019 → 14 Apr 2019

Conference

Conference	International Conference on Advanced Communication Technologies and Networking
Country/Territory	Morocco
City	Rabat
Period	12/04/19 → 14/04/19

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Computer Networks and Communications

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10.1109/COMMNET.2019.8742385

Superior Selective Reporting-based 2019
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http://urn.fi/URN:NBN:fi:tuni-202012028410

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Kishore, R., Gurugopinath, S., Muhaidat, S., Sofotasios, P. C., Mezher, K., Dobre, O. A., & Al-Dhahir, N. (2019). Superior selective reporting-based spectrum sensing in energy harvesting-aided HCRNs. In F. El Bouanani, P. C. Sofotasios, D. B. da Costa, P. C. Sofotasios, & F. Ayoub (Eds.), 2019 International Conference on Advanced Communication Technologies and Networking, CommNet 2019 Article 8742385 IEEE. https://doi.org/10.1109/COMMNET.2019.8742385

Kishore, Rajalekshmi ; Gurugopinath, Sanjeev ; Muhaidat, Sami et al. / Superior selective reporting-based spectrum sensing in energy harvesting-aided HCRNs. 2019 International Conference on Advanced Communication Technologies and Networking, CommNet 2019. editor / Faissal El Bouanani ; Paschalis C. Sofotasios ; Daniel Benevides da Costa ; Paschalis C. Sofotasios ; Fouad Ayoub. IEEE, 2019.

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abstract = "In the present contribution we investigate the performance of superior selective reporting (SSR) for cooperative spectrum sensing in an energy harvesting-enabled multi-channel heterogeneous cognitive radio network (HCRN). To this end, we first analyze the throughput of the SSR and the optimal conventional cooperative sensing (CCS). Then, we formulate a nonlinear integer programming problem to find a throughput-optimal set of spectrum sensors scheduled to sense a particular channel, under primary user (PU) interference and energy harvesting constraints. In this context, we derive a solution based on the cross entropy (CE) method, and compare its performance with the exhaustive-search method counterpart. Furthermore, we study the tradeoff between the channel available time and detection accuracy of the SSR and CCS schemes. It is shown that this inherent tradeoff is between the channel available time and the detection accuracy. Furthermore, it is shown that as the number of spectrum sensors increases, the channel available time turns out to be the system's limiting factor in HCRNs.",

author = "Rajalekshmi Kishore and Sanjeev Gurugopinath and Sami Muhaidat and Sofotasios, {Paschalis C.} and Kahtan Mezher and Dobre, {Octavia A.} and Naofal Al-Dhahir",

year = "2019",

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doi = "10.1109/COMMNET.2019.8742385",

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editor = "{El Bouanani}, Faissal and Sofotasios, {Paschalis C.} and {da Costa}, {Daniel Benevides} and Sofotasios, {Paschalis C.} and Fouad Ayoub",

booktitle = "2019 International Conference on Advanced Communication Technologies and Networking, CommNet 2019",

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Kishore, R, Gurugopinath, S, Muhaidat, S, Sofotasios, PC, Mezher, K, Dobre, OA & Al-Dhahir, N 2019, Superior selective reporting-based spectrum sensing in energy harvesting-aided HCRNs. in F El Bouanani, PC Sofotasios, DB da Costa, PC Sofotasios & F Ayoub (eds), 2019 International Conference on Advanced Communication Technologies and Networking, CommNet 2019., 8742385, IEEE, International Conference on Advanced Communication Technologies and Networking, Rabat, Morocco, 12/04/19. https://doi.org/10.1109/COMMNET.2019.8742385

Superior selective reporting-based spectrum sensing in energy harvesting-aided HCRNs. / Kishore, Rajalekshmi; Gurugopinath, Sanjeev; Muhaidat, Sami et al.
2019 International Conference on Advanced Communication Technologies and Networking, CommNet 2019. ed. / Faissal El Bouanani; Paschalis C. Sofotasios; Daniel Benevides da Costa; Paschalis C. Sofotasios; Fouad Ayoub. IEEE, 2019. 8742385.

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

TY - GEN

T1 - Superior selective reporting-based spectrum sensing in energy harvesting-aided HCRNs

AU - Kishore, Rajalekshmi

AU - Gurugopinath, Sanjeev

AU - Muhaidat, Sami

AU - Sofotasios, Paschalis C.

AU - Mezher, Kahtan

AU - Dobre, Octavia A.

AU - Al-Dhahir, Naofal

PY - 2019/4/1

Y1 - 2019/4/1

N2 - In the present contribution we investigate the performance of superior selective reporting (SSR) for cooperative spectrum sensing in an energy harvesting-enabled multi-channel heterogeneous cognitive radio network (HCRN). To this end, we first analyze the throughput of the SSR and the optimal conventional cooperative sensing (CCS). Then, we formulate a nonlinear integer programming problem to find a throughput-optimal set of spectrum sensors scheduled to sense a particular channel, under primary user (PU) interference and energy harvesting constraints. In this context, we derive a solution based on the cross entropy (CE) method, and compare its performance with the exhaustive-search method counterpart. Furthermore, we study the tradeoff between the channel available time and detection accuracy of the SSR and CCS schemes. It is shown that this inherent tradeoff is between the channel available time and the detection accuracy. Furthermore, it is shown that as the number of spectrum sensors increases, the channel available time turns out to be the system's limiting factor in HCRNs.

AB - In the present contribution we investigate the performance of superior selective reporting (SSR) for cooperative spectrum sensing in an energy harvesting-enabled multi-channel heterogeneous cognitive radio network (HCRN). To this end, we first analyze the throughput of the SSR and the optimal conventional cooperative sensing (CCS). Then, we formulate a nonlinear integer programming problem to find a throughput-optimal set of spectrum sensors scheduled to sense a particular channel, under primary user (PU) interference and energy harvesting constraints. In this context, we derive a solution based on the cross entropy (CE) method, and compare its performance with the exhaustive-search method counterpart. Furthermore, we study the tradeoff between the channel available time and detection accuracy of the SSR and CCS schemes. It is shown that this inherent tradeoff is between the channel available time and the detection accuracy. Furthermore, it is shown that as the number of spectrum sensors increases, the channel available time turns out to be the system's limiting factor in HCRNs.

U2 - 10.1109/COMMNET.2019.8742385

DO - 10.1109/COMMNET.2019.8742385

M3 - Conference contribution

BT - 2019 International Conference on Advanced Communication Technologies and Networking, CommNet 2019

A2 - El Bouanani, Faissal

A2 - Sofotasios, Paschalis C.

A2 - da Costa, Daniel Benevides

A2 - Sofotasios, Paschalis C.

A2 - Ayoub, Fouad

PB - IEEE

T2 - International Conference on Advanced Communication Technologies and Networking

Y2 - 12 April 2019 through 14 April 2019

ER -

Kishore R, Gurugopinath S, Muhaidat S, Sofotasios PC, Mezher K, Dobre OA et al. Superior selective reporting-based spectrum sensing in energy harvesting-aided HCRNs. In El Bouanani F, Sofotasios PC, da Costa DB, Sofotasios PC, Ayoub F, editors, 2019 International Conference on Advanced Communication Technologies and Networking, CommNet 2019. IEEE. 2019. 8742385 doi: 10.1109/COMMNET.2019.8742385

Superior selective reporting-based spectrum sensing in energy harvesting-aided HCRNs

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