Cooperative Sensing in Wireless Regional Area Network to Improve DTV Coverage Prediction

Foo, Yee-Loo

doi:10.1007/s11277-013-1153-5

Cited by 4 publications

(2 citation statements)

References 10 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%