Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Location-aware cooperative spectrum sensing within cognitive radio networks. / Abozariba, Raouf; Patwary, Mohammad N.; Soliman, Abdel-Hamid et al.
2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT). IEEE, 2015.Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Location-aware cooperative spectrum sensing within cognitive radio networks
AU - Abozariba, Raouf
AU - Patwary, Mohammad N.
AU - Soliman, Abdel-Hamid
AU - Abdel-Maguid, Mohamed
PY - 2015
Y1 - 2015
N2 - Spectrum sensing is the key enabling technology for cognitive radio networks. The main objective of spectrum sensing is to provide more spectrum access opportunities to cognitive radio users without interfering with the operations of the licensed network. Spectrum sensing decisions can lead to erroneous sensing due to fading, shadowing and other interferences caused by either terrain inconsistency or dense urban structure. In order to improve spectrum sensing decisions, in this paper a cooperative spectrum sensing scheme is proposed, which takes the propagation conditions such as the variance and intensity of terrain and urban structure between two points with respect to signal propagation into consideration. We have also derived the optimum fusion rule which takes location reliability into consideration. The analytical results show that the proposed scheme outperform the conventional cooperative spectrum sensing approaches.
AB - Spectrum sensing is the key enabling technology for cognitive radio networks. The main objective of spectrum sensing is to provide more spectrum access opportunities to cognitive radio users without interfering with the operations of the licensed network. Spectrum sensing decisions can lead to erroneous sensing due to fading, shadowing and other interferences caused by either terrain inconsistency or dense urban structure. In order to improve spectrum sensing decisions, in this paper a cooperative spectrum sensing scheme is proposed, which takes the propagation conditions such as the variance and intensity of terrain and urban structure between two points with respect to signal propagation into consideration. We have also derived the optimum fusion rule which takes location reliability into consideration. The analytical results show that the proposed scheme outperform the conventional cooperative spectrum sensing approaches.
U2 - 10.1109/AEECT.2015.7360555
DO - 10.1109/AEECT.2015.7360555
M3 - Conference contribution/Paper
SN - 9781479974429
BT - 2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)
PB - IEEE
T2 - IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies
Y2 - 3 November 2015
ER -