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Adaptive Resources Allocation Algorithm Based on Modified PSO for Cognitive Radio System

China Communications 2019年第5期16卷 83-92页

作者： Yi Yang Qinyu Zhang Ye Wang takahiro emoto Masatake Akutagawa Shinsuke Konaka School of Electronic and Information Engineering Harbin Institute of Technology (Shenzhen)Shenzhen 518055China Department of Electrical and Electronic Engineering Tokushima UniversityTokushima770-8506Japan Shenzhen Cyberspace Laboratory (Pengcheng Laboratory) Shenzhen 518055China

Radio spectrum has become a rare resource due to the rapid development of wireless communication technique. Cognitive radio is one of important techniques to deal with this radio spectrum problem. But the resource allocation in cognitive radio also has its own issues, such as the flexibility of the allocation algorithm, the performance of resource allocation, and so on. In order to increase the flexibility of the allocation algorithm for cognitive radio, more and more researches are focusing on the evolutionary algorithms, such as genetic algorithm(GA), particle swarm optimization(PSO). Evolutionary algorithm can greatly improve the flexibility of the allocation algorithm for cognitive radio system in different communication scenarios, but the performances are relatively lower than the original mathematical methods. So in this paper, we proposed an adaptive resource allocation algorithm based on modified PSO for cognitive radio system to solve these problems. Modified particle swarm optimization(Modified PSO) has both genetic algorithm(GA) and particle swarm optimization(PSO)’s updating processes which makes this modified PSO overcame PSO’s own disadvantages and keep advantages. Simulation results showed our proposed algorithm has enough flexibility to meet cognitive radio systems’ requirements, and also has a better performance than original PSO.

关键词： cognitive radio particle swarm optimization genetic algorithm performance analysis flexibility

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Multi-Strategy Dynamic Spectrum Access in Cognitive Radio Networks: Modeling, Analysis and Optimization

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China Communications 2019年第3期16卷 103-121页

作者： Yi Yang Qinyu Zhang Ye Wang takahiro emoto Masatake Akutagawa Shinsuke Konaka School of Electronic and Information Engineering Harbin Institute of Technology (Shenzhen) Department of Electrical and Electronic Engineering Tokushima University

Dynamic spectrum access(DSA) based on cognitive radios(CR) technique is an effective approach to address the "spectrum scarcity" issue. However, traditional CR-enabled DSA system employs only single DSA strategy, which might not be suited to the dynamic network environment. In this paper, we propose a multi-strategy DSA(MS-DSA) system, where the primary and the secondary system share spectrum resources with multiple DSA strategies simultaneously. To analyze the performance of the proposed MS-DSA system, we model it as a continuous-time Markov chain(CTMC) and derive the expressions to compute the corresponding performance metrics. Based on this, we define a utility function involving the concerns of effective throughput, interference quantity on primary users, and spectrum leasing cost. Two optimization schemes, named as spectrum allocation and false alarm probability selection, are proposed to maximize the utility function. Finally, numerical simulations are provided to validate our analysis and demonstrate that the performance can be significantly improved caused by virtues of the proposed MS-DSA system.

关键词： cognitive radio networks dynamic spectrum access multi-strategy performance analysis optimization

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维普期刊数据库

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