Volume 15, Issue 1 (2015)
MJEE 2015, 15(1): 20-27 |
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Hajipour P, Shahzadi A. Interference Management in Cognitive Radio Satellite Networks based on Time and Spectrum Sensing. MJEE 2015; 15 (1) :20-27
URL: http://mjee.modares.ac.ir/article-17-11074-en.html
URL: http://mjee.modares.ac.ir/article-17-11074-en.html
1- 1PhD student, Department of Communication, College of Electrical
Engineering, Yadegar-e-Imam Khomeini (RAH) Shahr-e-rey Branch,
Islamic Azad University, Tehran, Iran,
2- Assistant professor, Department of Communication, College of Electrical Engineering, Yadegar-e-Imam Khomeini (RAH) Shahr-e-rey Branch, Islamic Azad University, Tehran, Iran,
2- Assistant professor, Department of Communication, College of Electrical Engineering, Yadegar-e-Imam Khomeini (RAH) Shahr-e-rey Branch, Islamic Azad University, Tehran, Iran,
Abstract: (5717 Views)
In this paper, an interference management for multi-beam satellite network to enhance spectral efficiency is studied. First, a two-satellite for future generation satellite network using cognitive radio technology is provided.
This network is composed of a secondary satellite and aprimary satellite where the primary satellite system does not suffer from severe destructive interferences coming from the secondary satellite system. Upward/downward link power is assumed to be fixed and no power control is used. Therefore, the received data from each beam has a
specific level. Also, a novel bandwidth sharing algorithm is provided for the first time. Next, total rate for both
primary and secondary satellite systems are computed.Furthermore, Receiver Operating Characteristic (ROC)
curve and numerical results based on the number of antennas and threshold levels are given.
This network is composed of a secondary satellite and aprimary satellite where the primary satellite system does not suffer from severe destructive interferences coming from the secondary satellite system. Upward/downward link power is assumed to be fixed and no power control is used. Therefore, the received data from each beam has a
specific level. Also, a novel bandwidth sharing algorithm is provided for the first time. Next, total rate for both
primary and secondary satellite systems are computed.Furthermore, Receiver Operating Characteristic (ROC)
curve and numerical results based on the number of antennas and threshold levels are given.
Keywords: Satellite communication, cognitive radio, likelihood ratio detector, time sensing, spectrum sensing
Received: 2016/07/13 | Accepted: 2016/11/21 | Published: 2038/01/19
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