Opportunistic unlicensed access to the
(temporarily) unused frequency bands across the licensed
radio spectrum is currently being investigated as a means to
increase the efficiency of spectrum usage. Wireless
communication, in which a transmitter and receiver can
detect intelligently communicate channels that are in use
and those which are not in use are known as Cognitive
Radio, and it can move to unused channels. Dynamic
spectrum access is a promising approach to make less severe
the spectrum scarcity that wireless communications face
now. It aims at reusing sparsely occupied frequency bands
and does not interfere to the actual licensees. The ability to
reliably and autonomously identify unused frequency bands
is envisaged as one of the main functionalities of cognitive
radios. In this paper, it is proposed that an augmented
spectrum sensing algorithm in cognitive radio systems and
calculate the optimal value nopt to minimize the error rate in
cooperative spectrum sensing.
Sudipta Roy : Department of IT, Assam University
Silchar, Assam, India
S. K. Sen : Computer Science & Engineering Department, GNIT Kolkata
Kolkata, West Bengal, India
Cognitive Radio System
Dynamic Spectrum
Spectrum Sensing Algorithm
Cooperative Spectrum Sensing
As spectrum sensing in cognitive radio is subject to time
constraints, we have proposed a low complexity
architecture, which combines two systems. This
architecture benefits from the advantages of both systems,
the first one is a low complexity detector, but needs a
good estimation of the noise level N0 as for the second, it
is a more complex system based on cyclostationary
detection, but is less sensitive to a poor estimation of N0.
The hidden terminal problem in cooperative spectrum
sensing need to be solved and result will be simulated in
MATLAB.
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