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
N1 - Funding Information:
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 - 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.
UR - http://www.scopus.com/inward/record.url?scp=85068575836&partnerID=8YFLogxK
U2 - 10.1109/COMMNET.2019.8742385
DO - 10.1109/COMMNET.2019.8742385
M3 - Conference contribution
AN - SCOPUS:85068575836
T3 - Proceedings - 2019 International Conference on Advanced Communication Technologies and Networking, CommNet 2019
BT - Proceedings - 2019 International Conference on Advanced Communication Technologies and Networking, CommNet 2019
A2 - El Bouanani, Faissal
A2 - Ayoub, Fouad
A2 - Sofotasios, Paschalis C.
A2 - Sofotasios, Paschalis C.
A2 - da Costa, Daniel Benevides
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Advanced Communication Technologies and Networking, CommNet 2019
Y2 - 12 April 2019 through 14 April 2019
ER -