Deployment of wireless regional area network and its impact on DTV service coverage

Foo, Yee-Loo

doi:10.1007/s12243-012-0347-2

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…The signal-to-noise power ratio, SNR S = S S /W CR . When only noise is present in the samples, the test outcome follows a central chi-square distribution χ 2 N with N degrees of freedom [12,15,16], that is,…”

Section: Sensing Linkmentioning

confidence: 99%

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Interference analysis of cognitive radio networks

Foo

2016

Int J Communication

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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 (I aggr ) 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 I aggr and the sensing inaccuracy of CRs. Energy detector is assumed for the purpose of spectrum sensing. I aggr is expressed explicitly as a function of the number of energy samples collected (N) and the threshold signalto-noise ratio level used for comparison (SNR ε ). 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.

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Section: Sensing Linkmentioning

confidence: 99%

“…is the upper incomplete gamma function, and Γ À1 (a, b, upper) is the inverse upper incomplete gamma function. When primary signal is present in the samples, the test outcome is non-central chi-square distributed χ' 2 N ρ ð Þ with N degrees of freedom, and non-centrality parameter ρ takes the value of S S [12,15,16], that is,…”

Section: Sensing Linkmentioning

confidence: 99%

Interference analysis of cognitive radio networks

Foo

2016

Int J Communication

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“…The main goals of such efforts are to improve the capabilities of the cognitive radio (CR) wireless devices-originally defined by Mitola in his seminal work [5]-and to present system-wide techniques to boost the spectrum usage flexibility and radio access adaptability. Cognitive radio networking is considered as a key communications paradigm that will shape future wireless information and nommunications technologies (ICT) [6,7] and, especially, sustainable and green ICT [8].…”

Section: Introductionmentioning

confidence: 99%

Standardization of cognitive radio networking: a comprehensive survey

Khattab

Bayoumi

2015

Ann. Telecommun.

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Cognitive radio networking has recently presented itself as a key technology to alleviate the severe spectrum underutilization and provide a solution for spectrum scarcity. Cognitive radio networks (CRNs) are foreseen as the future wireless information and communications technologies (ICT) that exploit dynamic spectrum access (DSA) strategies to provide wireless connectivity. The enabling component of CRNs and DSA is the cognitive radio (CR). A CR is a wireless device that senses the surrounding radio environment and opportunistically accesses the unutilized spectrum bands based on the activities of the surrounding primary licensed networks. In this paper, we provide a comprehensive survey of the recent and ongoing standardization activities of the different ICT standardization bodies related to CRN and DSA systems. Unlike existing literature, our comprehensive study covers the standardization efforts of the different involved standardization bodies all over the globe. We classify such standards into TV white space standards and coexistence standards. We also discuss the standards developed to incorporate CRN and DSA concepts to existing wireless technologies.

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Dominant Interferers in Cognitive Radio Network

Foo

2016

Wireless Pers Commun

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Deployment of wireless regional area network and its impact on DTV service coverage

Cited by 5 publications

References 13 publications

Interference analysis of cognitive radio networks

Interference analysis of cognitive radio networks

Standardization of cognitive radio networking: a comprehensive survey

Dominant Interferers in Cognitive Radio Network

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