On the Energy Detection of Unknown Signals Over Fading Channels

By F. Digham, Mohamed-Slim Alouini, M. Simon. IEEE Transactions on Communications, 2007

2,819 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/847cdb7df549df33940911a48e007c1722175b8d

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Citations in the corpus

Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks (2008, methodology): “If primary signal is absent, Yj follows a central chi-square distribution with M degrees of freedom; Otherwise, Yj follows a non-central chi-square distribution with M degrees of freedom and a non-centrality parameter λj = Mγj [10], i.”
Broadband Hybrid Satellite-Terrestrial Communication Systems Based on Cognitive Radio toward 5G (2016, neutral): “[18] F.”
Collaborative spectrum sensing for opportunistic access in fading environments (2005, methodology): “In this case, a closed-form formula for P d may be obtained (after some manipulation) by substituting f γ ( x ) in (3) [11], 4 provides plots of complementary ROC curve under AWGN and Rayleigh fading scenarios. γ and m are assumed to be 10 dB and 5 respectively.”
A survey of spectrum sensing algorithms for cognitive radio applications (2009, methodology): “The performance of energy detector based sensing over various fading channels is investigated in [41].”
Opportunistic Spectrum Access in Fading Channels Through Collaborative Sensing (2007, positive): “In this case, a closed-form expression for P d may be obtained (after some manipulation) by substituting f γ (x) in (6) [20], P d = Γ(m − 1, λ 2 ) Γ(m − 1) + e − λ 2(1+mγ) 1 + 1 mγ m−1 ×   1 − Γ m − 1, λmγ 2(1+mγ) Γ(m − 1)   (7) where γ is the average SNR. Fig.”
Cooperative Spectrum Sensing Optimization in Cognitive Radio Networks (2008, methodology): “For the ith cognitive radio with the energy detector, the average probability of false alarm, the average probability of detection, and the average probability of missed detection over AWGN channels are given, respectively, by [16]”
Energy Detection Based Cooperative Spectrum Sensing in Cognitive Radio Networks (2011, methodology): “At the fusion center, different fusion techniques can be applied, such as maximal ratio combining (MRC) and square-law combining (SLC) [10].”
Multiantenna-Assisted Spectrum Sensing for Cognitive Radio (2010, methodology): “Generally, spectrum-sensing methods include matched filter detection [8]–[11], energy detection [12]–[15], and cyclostationary feature detection [16]–[18].”
Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks (2009, methodology): “In a Rayleigh fading channel, Pd is given by [6][14]”
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey (2006, background): “Classification of spectrum sensing techniques. to decide whether a licensed user is present or not [17].”
Cognitive radio networking and communications: an overview (2011, background): “Gaussian distributions with zero mean and they are independent from one sample to another, the probability of detection and the probability of false alarm can be expressed, respectively, as [27]”
A Survey on Security Threats and Detection Techniques in Cognitive Radio Networks (2013, methodology): “Energy detection is the most widely method used because of its simplicity and low computational overhead [72], [73], [74], [75].”
CRAHNs: Cognitive radio ad hoc networks (2009, neutral): “9, the measured signal r(t) is squared and integrated over the observation interval T. Finally, the output of the integrator is compared with a threshold k to decide if a PU is present [20].”
Cooperative spectrum sensing with transmit and relay diversity in cognitive radio networks - [transaction letters] (2008, background): “The performance of energy detection was studied for AWGN channels in [10], [11] and for a variety of fading channels in [5], [12], [13].”
Optimal spectrum sensing framework for cognitive radio networks (2008, methodology): “When CR users observe the spectrum to detect the primary user activity, the received signal r ( t ) takes the following form [14]: where H 0 represents the hypothesis corresponding to “no signal transmitted”, and H 1 to “signal transmitted”. s ( t ) is the signal waveform, and n ( t ) is a…”
Cluster-Based Cooperative Spectrum Sensing in Cognitive Radio Systems (2007, methodology): “Note that the energy Oi,j follows the distribution [11]”
Cooperative spectrum sensing in cognitive radio networks: A survey (2011, methodology): “For the evaluation of the detection performance, the probabilities of detection Pd and false alarm Pf are defined as [9]”