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Fair adaptive resource allocation in NC-OFDM based cognitive radio system

机译:基于NC-OFDM的认知无线电系统中的公平自适应资源分配

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Cognitive radio (CR) is an innovative technique to improve the utilization of radio frequency spectrum, in which different users compete for limited resources. Non-contiguous orthogonal frequency division multiplexing (NC-OFDM) is regarded as a well-matched technology for CR systems. In these systems, one of the major concerns is the fairness of resource allocation among secondary users. In this paper, a concept of fairness index threshold is defined, which achieves a better tradeoff between the system capacity and fairness. And for reducing the complexity of the solving process, we exploit the particle swarm optimization (PSO) algorithm to allocate power. At the end of the paper, simulation results show that the proposed algorithm makes good performances in both fairness and system capacity.
机译:认知无线电(CR)是一项创新技术,旨在提高无线电频谱的利用率,其中不同的用户争夺有限的资源。非连续正交频分复用(NC-OFDM)被认为是CR系统的一种很好匹配的技术。在这些系统中,主要关注点之一是二级用户之间资源分配的公平性。在本文中,定义了公平性指标阈值的概念,可以在系统容量和公平性之间取得更好的权衡。为了降低求解过程的复杂性,我们利用粒子群优化(PSO)算法分配功率。最后,仿真结果表明,该算法在公平性和系统容量方面均具有良好的性能。

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