Intelligent Wireless Communication System Using Cognitive Radio

Amraoui, Asma

doi:10.5121/ijdps.2012.3208

Cited by 11 publications

(7 citation statements)

References 23 publications

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“…Then, the concept of machine learning was applied to maximize capacity and dynamic spectrum access. Different learning algorithms can be used in CR networks such as Fuzzy Logic, Neural Networks, Hidden Markov Model, Genetic Algorithms, or Classification Algorithms [6,7].…”

Section: Approaches For Cognitive Radiomentioning

confidence: 99%

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Cognitive radio spectrum allocation using genetic algorithm

Elhachmi

Guennoun

2016

J Wireless Com Network

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This paper presents the problem formulation, development, and use of a robust dynamic genetic algorithm (GA) for channel allocation in cognitive radio. This approach offers an efficient way to access available spectrum for both primary and secondary users. The proposed dynamic genetic algorithms based on the new sophisticated crossover and mutation operators ensure the validity of channels and the fast convergence to the best solution in a highly dynamic environment. Compared with existing methods, simulation results demonstrate that our approach algorithm produces satisfactory results with reduced network interference and enhance efficiently the spectrum throughput.

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Section: Approaches For Cognitive Radiomentioning

confidence: 99%

“…The main advantage of fuzzy logic is its simplicity. It is more suitable for real-time cognitive radio applications in which the response time is critical to system performance [7].…”

Section: Approaches For Cognitive Radiomentioning

confidence: 99%

Cognitive radio spectrum allocation using genetic algorithm

Elhachmi

Guennoun

2016

J Wireless Com Network

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“…This is done by the adaptation of tunable transmission parameters including transmission power, carrier frequency, and the modulation schemes. In CR systems, to efficiently utilize the available spectrum, non-license holders are allowed to temporarily use certain frequency bands when they are not occupied by their primary users (PUs) [4]. However, the spectrum must be immediately vacated when demanded by its PU.…”

Section: Introductionmentioning

confidence: 99%

On Efficient Channel Modeling for Video Transmission over Cognitive Radio Networks

Hassan

Abusara

Din

et al. 2016

Wireless Pers Commun

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This paper investigates the problem of video transmission over cognitive radio networks with the objective of maintaining continuous video playback while gracefully degrading the quality of the reconstructed video sequences, if needed. We focus on modeling the channel availability to secondary users, which is a major limiting factor on the continuity of the streaming process. A Markov chain model for the channels availability in an M-channels system is developed. This model is used to estimate the likelihood of transmission interruptions a secondary user might experience due to the loss of a channel to a primary user. We also propose a joint adaptive mechanism where a simple source rate control scheme is integrated with an adaptive playback approach to reduce the impact of channels relocation/unavailability on the streaming process of active secondary users. Simulations and numerical investigations demonstrate the correctness of the proposed channel model. Simulation results also indicate that instants of playback buffer starvation at the secondary user ends could be avoided only when the hybrid approach is employed.

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“…The principle of the CR, included in the IEEE 802.22 norm and the IEEE 802.16h [7] needs an alternative spectrum management, when each secondary/unlicensed user(SU) is permitted to sense and access the spectrum when the spectrum is unoccupied by primary/licensed user(PUs) [8,3].…”

Section: Introductionmentioning

confidence: 99%

Spectrum allocation algorithms in a cognitive radio system

Elhachmi

Guennoun

2015

2015 5th International Conference on Information &Amp; Communication Technology and Accessibility (ICTA)

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Today, Cognitive radio (CR) is found to be the key technology to exploit the unused available spectrum resources; it can sense and use spectrum in an opportunistic manner without creating any harm to cognitive users. In this paper, we develop a cognitive radio access strategy based on the implementation of a dynamic genetic algorithm for CR. The crossover and mutation operators are developed to keep the channel allocation plan always in the appropriate state. Based on these techniques, reasonable implementation is proposed. Results demonstrate that our algorithm obtains satisfactory result with all satisfying network interference and reduce the number of used channels.

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Intelligent Wireless Communication System Using Cognitive Radio

Abstract: ABSTRACT

Cited by 11 publications

References 23 publications

Cognitive radio spectrum allocation using genetic algorithm

Cognitive radio spectrum allocation using genetic algorithm

On Efficient Channel Modeling for Video Transmission over Cognitive Radio Networks

Spectrum allocation algorithms in a cognitive radio system

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