Description: In this paper, author consider
cooperative spectrum sensing in order to optimize the sensing
performance and focus on energy detection for spectrum sensing
and find that the optimal fusion rule is the half-voting rule.
Next, the optimal detection threshold of energy detection is
determined numerically. Finally, we propose a fast spectrum
sensing algorithm for a large network which requires Platform: |
Size: 158720 |
Author:hossein |
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Description: In this paper we uate the performance of cooperative spectrum sensing (CSS) where
each cognitive radio (CR) employs an improved energy detector (IED) with multiple antennas and
uses selection combining (SC) for detecting the primary user (PU) in noisy and faded sensing (S)
channels. We derive an expression for the probability of false alarm and expressions for probability
of missed detection in non-faded (AWGN) and Rayleigh faded sensing environments in terms of
cumulative distribution function (CDF). Each CR transmits its decision about PU via noisy and
faded reporting (R) channel to fusion center (FC).-In this paper we uate the performance of cooperative spectrum sensing (CSS) where
each cognitive radio (CR) employs an improved energy detector (IED) with multiple antennas and
uses selection combining (SC) for detecting the primary user (PU) in noisy and faded sensing (S)
channels. We derive an expression for the probability of false alarm and expressions for probability
of missed detection in non-faded (AWGN) and Rayleigh faded sensing environments in terms of
cumulative distribution function (CDF). Each CR transmits its decision about PU via noisy and
faded reporting (R) channel to fusion center (FC). Platform: |
Size: 720896 |
Author:suchita |
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Search - energy fusion in cooperative spectrum sensing