Dominant Interferers in Cognitive Radio Network
Author: 
Yee-Loo FooAuthors Info & Claims
Pages 1271 - 1284
Abstract
Aggregate interference from a large number of cognitive radios (CRs) is a deterring factor to the implementation of spectrum sharing strategies. Even if all CRs implement spectrum sensing and are made to transmit at the same power, we show that there are CRs which are the major contributors of the aggregate interference. We call them the dominant interferers. Any attempt of alleviating the interference should first target the region where the dominant interferers are located. In this paper, we explain the method of determining their respective distances from the primary system, based on a theoretical model of their spatial distribution. This is accompanied by some numerical examples that demonstrate the use of the method.
References
[1]
Menon, R., Buehrer, R. M., & Reed, J. H. (2008). On the impact of dynamic spectrum sharing techniques on legacy radio systems. IEEE Transactions on Wireless Communications,7(11), 4198---4207.
[2]
Rabbachin, A., Quek, T. Q. S., Shin, H., & Win, M. Z. (2011). Cognitive network interference. IEEE Journal on Selected Areas in Communications,29(2), 480---493.
[3]
Chen, Z., Wang, C.-X., Hong, X., Thompson, J., Vorobyov, S. A., Ge, X., et al. (2012). Aggregate interference modeling for cognitive radio networks with power and contention control. IEEE Transactions on Communications,60(2), 456---467.
[4]
Hanif, M. F., & Smith, P. J. (2010). Level crossing rates of interference in cognitive radio networks. IEEE Transactions on Wireless Communications,9(4), 1283---1287.
[5]
Ghasemi, A., & Sousa, E. S. (2008). Interference aggregation in spectrum-sensing cognitive wireless networks. IEEE Journal of Selected Topics in Signal Processing,2(1), 41---56.
[6]
Mahmood, N. H., Yilmaz, F., Alouini, M.-S., & Øien, G. E. (2014). Heterogeneous next-generation wireless network interference model--And its applications. Transactions on Emerging Telecommunications Technologies,25(5), 563---575.
[7]
Urkowitz, H. (1967). Energy detection of unknown deterministic signals. Proceedings of the IEEE,55(4), 523---531.
[8]
Digham, F. F., Alouini, M.-S., & Simon, M. K. (2003). On the energy detection of unknown signals over fading channels. In Proceedings of IEEE ICC (pp. 3575---3579).
[9]
Ghasemi, A., & Sousa, E. S. (2007). Opportunistic spectrum access in fading channels through collaborative sensing. Journal of Communications,2(2), 71---82.
[10]
Foo, Y.-L. (2013). Performance of cooperative spectrum sensing under Rician and Nakagami fading. Wireless Personal Communications,70(4), 1541---1551.
[11]
Foo, Y.-L. (2013). Deployment of wireless regional area network and its impact on DTV service coverage. Annals of Telecommunications,68(11---12), 691---703.
[12]
Foo, Y.-L. (2013). Cooperative sensing in wireless regional area network to improve DTV coverage prediction. Wireless Personal Communications,72(4), 2339---2360.
[13]
Nuttall, A. H. (1975). Some integrals involving the QM function. IEEE Transactions on Information Theory,21(1), 95---96.
[14]
Nuttall, A. H. (1974). Some integrals involving the QMfunction. Naval Underwater Systems Center (NUSC) technical report, TR 4755, 1974.
[15]
Forsythe, G. E., Malcolm, M. A., & Moler, C. B. (1976). Computer methods for mathematical computations. Englewood Cliffs: Prentice-Hall.
[16]
Vu, M., Devroye, N., & Tarokh, V. (2009). On the primary exclusive region of cognitive networks. IEEE Transactions on Wireless Communications,8(7), 3380---3385.
[17]
Gander, W., & Gautschi, W. (2000). Adaptive quadrature--Revisited. BIT,40, 84---101.
- Dominant Interferers in Cognitive Radio Network
Recommendations
Aggregate Interference of Equidistant Cognitive Radios
In spite of spectrum sensing, aggregate interference from cognitive radios (CRs) remains as a deterring factor to the implementation of spectrum sharing strategies. We provide a systematic approach of evaluating the aggregate interference (Iaggr) ...
Spectrum sensing in cognitive radio networks: the cooperation-processing tradeoff
Cognitive Radio, Software Defined Radio And Adaptive Wireless SystemsOpportunistic unlicensed access to the (temporarily) unused frequency bands across the licensed radio spectrum is currently being investigated as a means to mitigate the spectrum scarcity. Such opportunistic access calls for the implementation of ...
Estimation of the Spectrum Sensing for the Cognitive Radios: Test Analysing Using Kalman Filter
Nowadays, the spectrum becomes more crowded and to solve this problem we use the cognitive radio technology, cognitive radio is a promising technology used to improve of spectrum utilization. Among important functions of the cognitive radio is the ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Copyright © Copyright © 2016 Springer Science+Business Media New York.
Publisher
Kluwer Academic Publishers
United States
Publication History
Published: 01 December 2016
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 18 Jan 2025