On the energy detection of unknown signals over fading channels

Digham, F.F.; Alouini, Mohamed‐Slim; Simon, M.K.

doi:10.1109/icc.2003.1204119

Cited by 1,262 publications

(1,247 citation statements)

References 5 publications

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“…From (13) and (14) in Lemma 1, it can be seen that P (F C) f and P (F C) m monotonically increase and decrease, respectively, over N . Thus, from (19), (20), (21) and (22), the increased number of SUs helps both CSS schemes improve the MDP, however, causing a higher FAP.…”

Section: B Cooperative Spectrum Sensing (Css)mentioning

confidence: 99%

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Cooperative spectrum sensing with secondary user selection for cognitive radio networks over Nakagami‐ m fading channels

2016

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This paper investigates cooperative spectrum sensing (CSS) in cognitive wireless radio networks (CWRNs). A practical system is considered where all channels experience Nakagami-m fading and suffer from background noise. The realisation of the CSS can follow two approaches where the final spectrum decision is based on either only the global decision at fusion centre (FC) or both decisions from the FC and secondary user (SU). By deriving closed-form expressions and bounds of missed detection probability (MDP) and false alarm probability (FAP), we are able to not only demonstrate the impacts of the m-parameter on the sensing performance but also evaluate and compare the effectiveness of the two CSS schemes with respect to various fading parameters and the number of SUs. It is interestingly noticed that a smaller number of SUs could be selected to achieve the lower bound of the MDP rather using all the available SUs while still maintaining a low FAP. As a second contribution, we propose a secondary user selection algorithm for the CSS to find the optimised number of SUs for lower complexity and reduced power consumption. Finally, numerical results are provided to demonstrate the findings.

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Section: B Cooperative Spectrum Sensing (Css)mentioning

confidence: 99%

“…, N , where γ P S i is the average SNR at SU i over h P S i . The FAP and MDP of the LSS are given by [19] …”

Section: B Cooperative Spectrum Sensing (Css)mentioning

confidence: 99%

Cooperative spectrum sensing with secondary user selection for cognitive radio networks over Nakagami‐ m fading channels

2016

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“…, N s , of length K (in bits) is used at the i-th SU to report the availability of frequency bands where bits '0' and '1' represent the frequency band being utilised by the PUs or available, respectively [16]. For example, following an energy detection rule for unknown signals over fading channels [17], the i-th SU, i = 1, 2, . .…”

Section: A System Model and Spectrum Allocation In Cwbrnmentioning

confidence: 99%

Distributed space‐time–frequency block code for cognitive wireless relay networks

Vien¹,

Stewart

Nguyen³

et al. 2014

IET Communications

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Copyright and moral rights to this thesis/research project are retained by the author and/or other copyright owners. The work is supplied on the understanding that any use for commercial gain is strictly forbidden. A copy may be downloaded for personal, non-commercial, research or study without prior permission and without charge. Any use of the thesis/research project for private study or research must be properly acknowledged with reference to the work's full bibliographic details.This thesis/research project may not be reproduced in any format or medium, or extensive quotations taken from it, or its content changed in any way, without first obtaining permission in writing from the copyright holder(s).If you believe that any material held in the repository infringes copyright law, please contact the Repository Team at Middlesex University via the following email address:eprints@mdx.ac.ukThe item will be removed from the repository while any claim is being investigated. In this paper, we consider cooperative transmission in cognitive wireless relay networks (CWRNs) over frequency-selective fading channels. We propose a new distributed space-time-frequency block code (DSTFBC) for a two-hop nonregenerative CWRN, where a primary source node and multiple secondary source nodes convey information data to their desired primary destination node and multiple secondary destination nodes via multiple cognitive relay nodes with dynamic spectrum access. The proposed DSTFBC is designed to achieve spatial diversity gain as well as allow for low-complexity decoupling detection at the receiver. Pairwise error probability is then analysed to study the achievable diversity gain of the proposed DSTFBC for different channel models including Rician fading and mixed Rayleigh-Rician fading.

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“…The energy detection over fading channels was studied in (Digham et al, 2003), in which the detection probability for a given SNR (γ) was integrated over the pdf of the SNR of the Rayleigh fading channels, which is known to have an exponential distribution. (Note that Pf does not depend on γ therefore only Pd needs to be integrated) The closed form of Pd is as given in (3).…”

Section: Energy Detection Over Rayleigh Fading Channelsmentioning

confidence: 99%

Review of Energy Detection for Spectrum Sensing in Various Channels and Its Performance for Cognitive Radio Applications

M.¹

2012

American Journal of Engineering and Applied Sciences

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Spectrum sensing is the basic and important operation in Cognitive Radio (CR) to find the unused spectrum. Energy detector is a popular sensing method because it doesn't require transmitted signal properties, channel information, of even the type of modulation. This study summarizes the performance result of energy detector over Additive White Gaussian Noise (AWGN), Rayleigh fading and Nakagami fading channels. Energy detection with soft decision and hard decision are also studied for different number of cognitive nodes as well as each cognitive node having multiple antennas. The performance of hard decision and soft decision are evaluated by means of complementary Receiver Operating Characteristic (ROC) curves. It clearly shows that the probability of missing detection decreases for increasing the number of antennas in cognitive node and also increasing of cooperated cognitive users.

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On the energy detection of unknown signals over fading channels

Cited by 1,262 publications

References 5 publications

Cooperative spectrum sensing with secondary user selection for cognitive radio networks over Nakagami‐ m fading channels

Cooperative spectrum sensing with secondary user selection for cognitive radio networks over Nakagami‐ m fading channels

Distributed space‐time–frequency block code for cognitive wireless relay networks

Review of Energy Detection for Spectrum Sensing in Various Channels and Its Performance for Cognitive Radio Applications

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