A novel two-stage spectrum sensing for cognitive radio system

Suwanboriboon, Sakkarin; Lee, Wilaiporn

doi:10.1109/iscit.2013.6645845

Cited by 13 publications

(15 citation statements)

References 12 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%

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%

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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“…For ED to CAV two-stage spectrum sensing technique, after the second stage is activated, the statistical covariance of the signal sample is computed by (18). If the statistical covariance of the signal sample is lower than the threshold (19), the two-stage spectrum sensing technique determines that primary user absents.…”

Section: Two-stage Spectrum Sensingmentioning

confidence: 99%

“…There are two existing two-stage spectrum sensing techniques including energy detection (ED) to cyclostationary detector (CS) two-stage spectrum sensing technique [14][15] and energy detection (ED) to maximum eigenvalue detection (MED) two-stage spectrum sensing technique [16][17][18]. Mostly, ED [19] is utilized as a first stage of two-stage spectrum sensing technique because it uses less sensing time than the other techniques.…”

Section: Introductionmentioning

confidence: 99%

Two-stage spectrum sensing for cognitive radio under noise uncertainty

Srisomboon

Prayote

Lee

2015

2015 Eighth International Conference on Mobile Computing and Ubiquitous Networking (ICMU)

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The robustness to uncertainty of noise power is one of main challenges to spectrum sensing technique. Since the occurrence of noise power uncertainty causes the detection performance of spectrum sensing techniques significantly degrade. In this paper, we propose two novel schemes of twostage spectrum sensing for cognitive radio under environment as noise power uncertainty. The two-stage spectrum sensing technique combines two conventional spectrum sensing techniques to perform spectrum sensing by exploiting their individual advantages. The proposed two-stage spectrum sensing scheme exploits the merits of ED, MME and CAV techniques to determine the existence of the primary user. The ED performs spectrum sensing within a short time and offers a reliable detection at high SNRs condition. MME and CAV are robust to noise power uncertainty. Due to the combination of these techniques, the proposed schemes offer much more reliable detection when the uncertainty of noise power occurs. Even though the proposed technique takes the longest time in sensing period among two-stage spectrum sensing techniques, it is worth using this period of time to protect the primary user from harmful interference caused by the secondary user.

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“…This phenomenon is called the shadowing effect. For mathematic model, the shadowing effect (σ ) can be written as 0.1ln(10) dB σ σ = (9) where dB σ is log-normal shadowing in dB. The channel gain can be modeled log-normal shadowing variable X e where X is a zero-mean Gaussian random variable with variance 2 σ [17].…”

Section: Shadowing Effectmentioning

confidence: 99%

“…Many spectrum sensing techniques, which can be broadly classified to two types such as single-stage and two-stage spectrum sensing, were proposed. Four well-known of single-stage spectrum sensing techniques include energy detection (ED) [8][9][10][11], covariance absolute value detection (CAV) [12][13], maximum-minimum eigenvalue detection (MME) [14] and maximum eigenvalue detection (MED) [15]. These singlestage spectrum sensing techniques have different of advantages and disadvantages [10].…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of single-stage and two-stage spectrum sensing techniques for cooperative cognitive radio systems under shadowing environments

Dindom

Srisomboon

Lee

2015

2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolo

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In this paper, we present the performance evaluation of seven spectrum sensing techniques including four single-stage spectrum sensing and three two-stage spectrum sensing for cognitive radio (CR) systems. We focus on the performance evaluation of these techniques under two types of operative schemes including non-cooperative and cooperative of CR systems when the received signal experiences shadowing. Our system considers under nine values of the shadowing effect. In simulation results, we found that ED-MED gives the best performance of probability of detection than other techniques for both operative schemes. Moreover, we consider three fusion rules such as AND, OR and K-of-N in cooperative scheme of CR systems. The simulation results show that the appropriate fusion rule method under shadowing effect is Kof-N rule.

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A novel two-stage spectrum sensing for cognitive radio system

Cited by 13 publications

References 12 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

Two-stage spectrum sensing for cognitive radio under noise uncertainty

Performance evaluation of single-stage and two-stage spectrum sensing techniques for cooperative cognitive radio systems under shadowing environments

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