Optimization of Spectrum Sensing for Opportunistic Spectrum Access in Cognitive Radio Networks

Ghasemi, Amir; Sousa, E.S.

doi:10.1109/ccnc.2007.206

Cited by 229 publications

(182 citation statements)

References 3 publications

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“…Decision is made based on the comparison of signal to noise ratio of the received signal with that of threshold [5]. Advantages of energy based detectors are [5][6][7] 1) No prior knowledge of the primary users signal is required; hence the design is complex free.…”

Section: Spectrum Sensing Techniques 31 Energy Based Spectrum Sensingmentioning

confidence: 99%

Cognitive Radio: Spectrum Sensing Problems in Signal Processing

Clement¹,

Krishnan²,

Bagubali³

2012

IJCA

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Section: Spectrum Sensing Techniques 31 Energy Based Spectrum Sensingmentioning

confidence: 99%

Cognitive Radio: Spectrum Sensing Problems in Signal Processing

Clement¹,

Krishnan²,

Bagubali³

2012

IJCA

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“…Energy detector based approach, also known as radiometry or periodogram, is the most common way of spectrum sensing because of its low computationalandimplementationcomplexities [15], [16], [17],[ …”

Section: Energy-based Spectrum Sensingmentioning

confidence: 99%

A Comparative Study on Different Types of Spectrum Sensing Techniques in Centralized Cognitive Cellular Network

Mandal¹,

Chatterjee²

2017

IJCA

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The shortage of spectrum is increasing day by day. To minimize this problem, dynamic spectrum access (DSA) technique is adopted by Cognitive Radio Technology. Spectrum sensing is an important technique of secondary users or cognitive users to scan the spectrum holes or white spaces. In this paper, they have discussed the sensing method in a Centralized Cognitive Cellular Network. They have also performed a hypothesis test for different values of Probability of Successful Detection and Probability of false alarm while operating in the low Signal-to-Noise Ratio. This paper basically explains different types of spectrum sensing methods graphically. From the graphical analysis, it has been observed that matched filter is the best spectrum sensing method with minimum local sensing time and less spectrum sensing error..

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“…The penalty provides an incentive for CRN to enhance its perception level in order to avoid interference with PU, which is an essential requirement in any realistic scenario. Next, we introduce a decision-making process, which is responsible both for selecting the channels to be accessed and for managing the samplingtransmission tradeoff [10]- [12]. The third contribution of this paper is the introduction of cross-entropy optimized policy for controlling the CRN.…”

Section: Introductionmentioning

confidence: 99%

Cross-Entropy Optimized Cognitive Radio Policies

Oklander

Sidi

2011

NETWORKING 2011 Workshops

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Abstract. In this paper we consider cognitive processes and their impact on the performance of cognitive radio networks (CRN). We model the cognition cycle, during which cognitive radio (CR) sequentially senses and estimates the environment state, makes decisions in order to optimize certain objectives and then acts. Model-based analysis of CRN is used to solve control and decision making tasks, which actually gives the radio its "cognitive" ability. Particularly, we design an efficient strategy for accessing the vacant spectrum bands and managing the transmission-sampling trade-off. In order to cope with the high complexity of this problem the policy search uses the stochastic optimization method of cross-entropy. The developed model represents CRN ability to intelligently react to the network's state changes and gives a good understanding of the cross-entropy optimized policies.

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Optimization of Spectrum Sensing for Opportunistic Spectrum Access in Cognitive Radio Networks

Cited by 229 publications

References 3 publications

Cognitive Radio: Spectrum Sensing Problems in Signal Processing

Cognitive Radio: Spectrum Sensing Problems in Signal Processing

A Comparative Study on Different Types of Spectrum Sensing Techniques in Centralized Cognitive Cellular Network

Cross-Entropy Optimized Cognitive Radio Policies

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