Interference analysis of cognitive radio networks

Citation

Foo, Yee Loo (2016) Interference analysis of cognitive radio networks. International Journal of Communication Systems, 30 (8). pp. 1-16. ISSN 1074-5351

Full text not available from this repository.

Abstract

In spite of spectrum sensing, aggregate interference from cognitive radios (CRs) remains as a deterring factor to the realization of spectrum sharing. We provide a systematic approach of evaluating the aggregate interference (Iaggr) experienced at a victim primary receiver. In our approach, we model the received power versus propagation distance relations between a primary transmitter, primary receiver, and CRs. Our analytical framework differs from the previous works in that we have formulated the relationship between Iaggr and the sensing inaccuracy of CRs. Energy detector is assumed for the purpose of spectrum sensing. Iaggr is expressed explicitly as a function of the number of energy samples collected (N) and the threshold signal-to-noise ratio level used for comparison (SNRε). The theoretical analysis is then applied to a practical scenario of spectrum sharing between digital TV broadcast and the IEEE 802.22 wireless regional area network systems. The impact on digital TV reception is evaluated in terms of signal-to-interference ratio. The proposed method allows us to determine the appropriate wireless regional area network operating conditions that fulfill the signal-to-interference ratio requirement imposed by regulator. Copyright © 2016 John Wiley & Sons, Ltd.

Item Type: Article
Uncontrolled Keywords: spectrum sharing, cognitive radio, interference model, spectrum sensing, energy detector
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 09 Feb 2018 16:52
Last Modified: 09 Feb 2018 16:52
URII: http://shdl.mmu.edu.my/id/eprint/6683

Downloads

Downloads per month over past year

View ItemEdit (login required)