Signal interception: performance advantages of cyclic-feature detectors

Gardner, William A.; Spooner, Chad M.

doi:10.1109/26.126716

Cited by 307 publications

(134 citation statements)

References 13 publications

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“…The sensing by cyclostationarity [18], [19] exploits the periCopyright c 2014 The Institute of Electronics, Information and Communication Engineers odicity of statistical moments of the signal, such as mean and autocorrelation. The goal is to differentiate a communication signal from Additive White Gaussian Noise (AWGN).…”

Section: Sensing By Cyclostationaritymentioning

confidence: 99%

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Parallel Cyclostationarity-Exploiting Algorithm for Energy-Efficient Spectrum Sensing

Lima

Barros

Silveira

et al. 2014

IEICE Trans. Commun.

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SUMMARYThe evolution of wireless communication systems leads to Dynamic Spectrum Allocation for Cognitive Radio, which requires reliable spectrum sensing techniques. Among the spectrum sensing methods proposed in the literature, those that exploit cyclostationary characteristics of radio signals are particularly suitable for communication environments with low signal-to-noise ratios, or with non-stationary noise. However, such methods have high computational complexity that directly raises the power consumption of devices which often have very stringent low-power requirements. We propose a strategy for cyclostationary spectrum sensing with reduced energy consumption. This strategy is based on the principle that p processors working at slower frequencies consume less power than a single processor for the same execution time. We devise a strict relation between the energy savings and common parallel system metrics. The results of simulations show that our strategy promises very significant savings in actual devices.

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Section: Sensing By Cyclostationaritymentioning

confidence: 99%

“…T r = 1, resulting in F r = 1/S p according to (23), and, therefore, we can rewrite (19) for this specific case:…”

Section: Reducing Power Consumption With Multiple Processorsmentioning

confidence: 99%

Parallel Cyclostationarity-Exploiting Algorithm for Energy-Efficient Spectrum Sensing

Lima

Barros

Silveira

et al. 2014

IEICE Trans. Commun.

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“…Naturally in communication signals there exists one or multiple periodicities within their random fluctuations due to sine wave carriers and repetitive pulsing or keying [14]. Although the secondary user has no knowledge about the carrier phase or clock timing these periodicities can be exploited in detection of primary user signals using cyclostationary detection.…”

Section: Cyclostationary Detectionmentioning

confidence: 99%

“…Although the secondary user has no knowledge about the carrier phase or clock timing these periodicities can be exploited in detection of primary user signals using cyclostationary detection. For more information see [14]. The advantages of this scheme include the ability to distinguish between primary user, noise and secondary user, not requiring complete information about the signal but have to know the cyclic frequencies, being more effective in sensing direct sequence spread spectrum signals and having high performance in low SNR conditions [7,13,14].…”

Section: Cyclostationary Detectionmentioning

confidence: 99%

“…For more information see [14]. The advantages of this scheme include the ability to distinguish between primary user, noise and secondary user, not requiring complete information about the signal but have to know the cyclic frequencies, being more effective in sensing direct sequence spread spectrum signals and having high performance in low SNR conditions [7,13,14]. The main disadvantage is the complexity of computations [13].…”

Section: Cyclostationary Detectionmentioning

confidence: 99%

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Predictive Channel Access in Cognitive Radio Networks Based on Variable Order Markov Models

Devanarayana

Alfa

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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The concept of Cognitive radio enables the unlicensed users to share the spectrum with licensed users, on the condition that the licensed users have preemptive priority. The use of the channel by unlicensed users should not result in more than acceptable interference level to the licensed users, if interference occurs. The sense and react strategy by unlicensed users sometimes does not lead to acceptable level of interference while maintaining an acceptable data transfer rate for the unlicensed users.Proactive channel access has been proposed for the purpose of reducing the interference to primary users and to reduce the idle channel search delay for the secondary users. There are many methods used in the literature to model the channel state fluctuations. Based on these models the future channel states are predicted.In this thesis we introduce a predictive channel usage scheme which is capable of reducing the interference caused by the unlicensed users. Furthermore our scheme is capable of increasing the data rates the unlicensed users experience through the reduction of the idle channel identification delay. In our scheme no assumptions are made about the distribution of licensed user channel usage. We learn the traffic characteristics of the channels using a learning scheme called Probabilistic Suffix Tree algorithm.iii

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References

2012

Cognitive Radio Communications and Networking

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Signal interception: performance advantages of cyclic-feature detectors

Cited by 307 publications

References 13 publications

Parallel Cyclostationarity-Exploiting Algorithm for Energy-Efficient Spectrum Sensing

Parallel Cyclostationarity-Exploiting Algorithm for Energy-Efficient Spectrum Sensing

Predictive Channel Access in Cognitive Radio Networks Based on Variable Order Markov Models

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