Traffic Analysis of a Cognitive Radio Network Based on the Concept of Medium Access Probability. Khan, R. T., Islam, M. I., & Amin, M. R. Journal of Information Processing Systems, 10(4):602–617, 2014. Publisher: Korea Information Processing Society
Traffic Analysis of a Cognitive Radio Network Based on the Concept of Medium Access Probability [link]Paper  doi  abstract   bibtex   
The performance of a cognitive radio network (CRN) solely depends on how precisely the secondary users can sense the presence or absence of primary users. The incorporation of a spatial false alarm makes deriving the probability of a correct decision a cumbersome task. Previous literature performed this task for the case of a received signal under a Normal probability density function case. In this paper we enhance the previous work, including the impact of carrier frequency, the gain of antennas on both sides, and antenna heights so as to observe the robustness against noise and interference and to make the correct decision of detection. Three small scale fading channels: Rayleigh, Normal, and Weibull were considered to get the real scenario of a CRN in an urban area. The incorporation of a maximal-ratio combining and selection combing with a variation of the number of received antennas have also been studied in order to achieve the correct decision of spectral sensing, so as to serve the cognitive users. Finally, we applied the above concept to a traffic model of the CRN, which we based on a two-dimensional state transition chain.
@article{khan_traffic_2014,
	title = {Traffic {Analysis} of a {Cognitive} {Radio} {Network} {Based} on the {Concept} of {Medium} {Access} {Probability}},
	volume = {10},
	issn = {1976-913X},
	url = {http://koreascience.or.kr/article/JAKO201401657906036.page},
	doi = {10.3745/JIPS.03.0019},
	abstract = {The performance of a cognitive radio network (CRN) solely depends on how precisely the secondary users can sense the presence or absence of primary users. The incorporation of a spatial false alarm makes deriving the probability of a correct decision a cumbersome task. Previous literature performed this task for the case of a received signal under a Normal probability density function case. In this paper we enhance the previous work, including the impact of carrier frequency, the gain of antennas on both sides, and antenna heights so as to observe the robustness against noise and interference and to make the correct decision of detection. Three small scale fading channels: Rayleigh, Normal, and Weibull were considered to get the real scenario of a CRN in an urban area. The incorporation of a maximal-ratio combining and selection combing with a variation of the number of received antennas have also been studied in order to achieve the correct decision of spectral sensing, so as to serve the cognitive users. Finally, we applied the above concept to a traffic model of the CRN, which we based on a two-dimensional state transition chain.},
	language = {eng},
	number = {4},
	urldate = {2021-05-17},
	journal = {Journal of Information Processing Systems},
	author = {Khan, Risala T. and Islam, Md Imdadul and Amin, M. R.},
	year = {2014},
	note = {Publisher: Korea Information Processing Society},
	pages = {602--617},
}

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