Improved Cognitive Radio energy detection algorithm based upon noise uncertainty estimation

Farag, Hossam M.; Mohamed, Ehab Mahmoud

doi:10.1109/nrsc.2014.6835067

Cited by 15 publications

(11 citation statements)

References 8 publications

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“… Reliability: Refers to the performance of the network in completing and starting sessions, as in [93][94][95][96][97][98][99][100][101][102][103][104][105][106][107][108][109].…”

Section: Qos Objectivesmentioning

confidence: 99%

See 1 more Smart Citation

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Fakhrudeen

Alani

2017

Int J Wireless Inf Networks

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Much interest in Cognitive Radio Networks (CRNs) has been raised recently by enabling unlicensed (secondary) users to utilize the unused portions of the licensed spectrum. CRN utilization of residual spectrum bands of Primary (licensed) Networks (PNs) must avoid harmful interference to the users of PNs and other overlapping CRNs. The coexisting of CRNs depends on four components: Spectrum Sensing, Spectrum Decision, Spectrum Sharing, and Spectrum Mobility. Various approaches have been proposed to improve Quality of Service (QoS) provisioning in CRNs within fluctuating spectrum availability. However, CRN implementation poses many technical challenges due to sporadic usage of licensed spectrum bands, which will be increased after deploying CRNs. Unlike traditional surveys of CRNs, this paper addresses QoS provisioning approaches of CRN components and provides an up-to-date comprehensive survey of recent improvement in these approaches. Major features of the open research challenges of each approach are investigated. Due to the extensive nature of the topic, this paper is the first part of the survey which investigates QoS approaches on spectrum sensing and decision components respectively. The remaining approaches of spectrum sharing and mobility components will be investigated in the next part.

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“… Reliability: Refers to the performance of the network in completing and starting sessions, as in [93][94][95][96][97][98][99][100][101][102][103][104][105][106][107][108][109].…”

Section: Qos Objectivesmentioning

confidence: 99%

“…7. Recently, the authors in [99] proposed a dynamic threshold detection algorithm, where the algorithm proposes two threshold levels for average received PUs energy during a specified observation period. However, the algorithm suffers from computational complexity.…”

Section: Threshold Settingmentioning

confidence: 99%

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Fakhrudeen

Alani

2017

Int J Wireless Inf Networks

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“…In [20], an efficient energy detector is introduced for optimal CR performance. A dynamic threshold is considered in energy detection algorithm and two threshold values are calculated based upon the received average energy from the primary user (PU) during the observation period.…”

Section: Previous Work On Energy Based Spectrum Sensingmentioning

confidence: 99%

A review on energy based spectrum sensing in Cognitive Radio Networks

Malhotra

Aulakh

Vig

2015

2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE)

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Cognitive Radio Networks is considered as the solution to the problem of limited bandwidth which arises in the wireless networks. Spectrum sensing is an important issue of CRNs. Spectrum sensing involves the sensing of the licensed user signal, then allowing the unlicensed user to use the free spectrum band in the network. The energy based spectrum sensing techniques in CRNs become important in battery oriented applications. This paper focuses on some existing researches on energy based spectrum sensing. Many factors which play an important role in the sensing process have also been explained.

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“…To overcome the impact of noise uncertainty on detection performance, many valuable works have been proposed [11][12][13][14][15]. For example, the authors in [11] proposed a dual threshold energy detection method, which aimed to improve the detection performance under an additive white Gaussian noise (AWGN) channel, but the improvement of performance is not well enough in response to a large noise uncertainty.…”

Section: Introductionmentioning

confidence: 99%

“…But a long-term observation is very necessary for the algorithm, which means that its detection efficiency cannot be guaranteed. A cooperative energy detection algorithm which consists of two-step judgment mechanism and convex sample threshold has been mentioned in [13] to obtain the minimum total error detection probability, but in this case, the algorithm has a high missed detection probability. In addition, the algorithm did not consider the stability of the algorithm under diverse noise uncertainty.…”

Section: Introductionmentioning

confidence: 99%

A Two-Step Cooperative Energy Detection Algorithm Robust to Noise Uncertainty

Yang

et al. 2019

Wireless Communications and Mobile Computing

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In order to achieve accurate interference detection in complex electromagnetic environments, a two-step cooperative stochastic resonance energy detection (TCSRED) algorithm is proposed to address the problem, where the traditional energy detection (ED) performance is susceptible to noise uncertainty. By combining two thresholds and two-step cooperation, the generalized stochastic resonance is applied to the energy detection, which effectively reduces the complexity and detection time. In particular, when a certain decision result is obtained in the first step of detection, the decision is finished and the second step of detection is unnecessary. Otherwise, the second step of detection is performed to obtain the final decision result. Simulation results show that the proposed algorithm is robust to the noise uncertainty. Even in the case of a low signal-to-noise ratio (SNR), it also performs better than existing methods without significant increment of the complexity.

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Improved Cognitive Radio energy detection algorithm based upon noise uncertainty estimation

Cited by 15 publications

References 8 publications

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

A review on energy based spectrum sensing in Cognitive Radio Networks

A Two-Step Cooperative Energy Detection Algorithm Robust to Noise Uncertainty

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