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Collaborative Spectrum Sensing Over Fading Channels In Cognitive Radio Network
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Collaborative Spectrum Sensing Over Fading Channels In Cognitive Radio Network

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COLLABORATIVE SPECTRUM SENSING OVER FADING CHANNELS IN

COGNITIVE RADIO NETWORK

Viet-Duc Tran

QH-2010-I/CQ, Electronics and Telecommunications

Abstract:

The sensible utilization of radio spectrum has become an important challenge in

wireless communications. Frequency bands are closely and strictly managed by government

authorization and have nearly been used up with the quick increase in the number of

subscribers and wireless services recently. A question arises how to improve the efficiency of

using allocated bands to avoid wasting radio resource? The establishment of cognitive radio

network helped to solve the question partially. In cognitive radio network, the cognitive radio

users (CRs) can detect the available spectrum (white-space) of communication channels and

perform spectrum sensing by themselves (local spectrum sensing) or collaborating with each

other CRs (cooperative spectrum sensing). If the channel is in use, unlicensed user

(secondary users or cognitive radio users) is not allowed to access the channel in order to

avoid interference and then continue to sense another channels. There are some main

cognitive radio functions such as spectrum mobility, spectrum sharing, spectrum sensing.

In this thesis, we illustrate effects of collaborating spectrum sensing on the probability

of spectrum sensing detection through simulation and efficiency estimation of the detection

over Rayleigh fading channel and Log-normal shadowing channel in cognitive radio network.

We will prove that when the number of CRs reaches a certain value, the probability of

spectrum detection of collaborating spectrum sensing will get the best result without the

requirement of more CRs involved. Furthermore, we will study cooperative spectrum sensing

over correlated log-normal shadowing, when each CRs can impact to each other at a close

distance.

Keywords: Rayleigh channel, Log-normal Shadowing, Cooperative Spectrum Sensing,

Cognitive Radio.

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