基于粒子群算法的CRN频谱分配分析与性能评价

2021 International Conference on Innovative Practices in Technology and Management (ICIPTM) Pub Date : 2021-02-17 DOI:10.1109/iciptm52218.2021.9388339

C. P. Mallikarjuna Gowda, V. T

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引用次数: 4

摘要

设计最优频谱分配机制是实现认知无线网络动态频谱接入的关键问题。本文利用粒子群优化算法(Particle Swarm Optimization, PSO)实现了频谱分配问题的最优解，其目标是确定可访问子载波对不同二级用户(未授权用户)的最佳频谱共享。结果表明，系统的整体传输速率有了很大的提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analysis and Performance Evaluation of PSO for Spectrum Allocation in CRN

Design of an optimal spectrum allocation mechanism is a key issue for realizing dynamic spectrum access in cognitive radio network. In this paper, the optimal solution to spectrum allocation problem is achieved with the objective to determine a finest spectrum sharing of the accessible subcarriers to the different secondary users (unlicensed users) using Particle Swarm Optimization (PSO) algorithm. The results show considerable improvement in the overall transfer rate of the system.

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2021 International Conference on Innovative Practices in Technology and Management (ICIPTM)

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