TY - JOUR
T1 - Spectrum-Occupancy Aware Cooperative Spectrum Sensing Using Adaptive Detection
AU - Al-Jarrah, Mohammad A.
AU - Al-Dweik, Arafat
AU - Ikki, Salama S.
AU - Alsusa, Emad
N1 - Funding Information:
Manuscript received December 22, 2018; revised February 28, 2019 and May 25, 2019; accepted June 10, 2019. Date of publication July 2, 2019; date of current version June 3, 2020. This work was supported in part by the European Union’s Horizon 2020 research and innovation programme under Marie Skłodowska-Curie Grant agreement No. 812991. (Corresponding author: Arafat Al-Dweik.) M. A. Al-Jarrah is with the School of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, U.K. (e-mail: [email protected]).
Publisher Copyright:
© 2007-2012 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - In this paper, an efficient adaptive detection scheme is proposed for cognitive radio networks where multiple secondary users (SUs) cooperate to identify idle spectrum bands. Each SU generates a binary local decision, which is then transmitted either directly or via the assistance of intermediate relays to a cognitive radio base station (CRBS), where the global decision is made. The fusion process at the CRBS is performed using the local binary decisions made by the individual SUs. The local binary decisions at the relays and CRBS are regenerated based on dynamic thresholds, which are chosen to minimize the probability of the spectrum sensing error (PSSE) by considering the imbalanced nature of the spectrum occupancy, as well as the reliability of the decisions made by the SUs. The PSSE performance is derived where a closed-form analytical expression is obtained. The analytical results corroborated by Monte Carlo simulation show that using adaptive detection can reduce the PSSE significantly as compared to the conventional detection approach.
AB - In this paper, an efficient adaptive detection scheme is proposed for cognitive radio networks where multiple secondary users (SUs) cooperate to identify idle spectrum bands. Each SU generates a binary local decision, which is then transmitted either directly or via the assistance of intermediate relays to a cognitive radio base station (CRBS), where the global decision is made. The fusion process at the CRBS is performed using the local binary decisions made by the individual SUs. The local binary decisions at the relays and CRBS are regenerated based on dynamic thresholds, which are chosen to minimize the probability of the spectrum sensing error (PSSE) by considering the imbalanced nature of the spectrum occupancy, as well as the reliability of the decisions made by the SUs. The PSSE performance is derived where a closed-form analytical expression is obtained. The analytical results corroborated by Monte Carlo simulation show that using adaptive detection can reduce the PSSE significantly as compared to the conventional detection approach.
KW - Cognitive radio network (CRN)
KW - cooperative communications
KW - decision fusion
KW - decode-and-forward
KW - distributed spectrum sensing
KW - relays
UR - https://www.scopus.com/pages/publications/85080441022
U2 - 10.1109/JSYST.2019.2922773
DO - 10.1109/JSYST.2019.2922773
M3 - Article
AN - SCOPUS:85080441022
SN - 1932-8184
VL - 14
SP - 2225
EP - 2236
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 2
M1 - 8753528
ER -