文件名称:1-s2.0-S131915781500097X-main
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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).
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).
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