认知无线网络中信道选择的分布式学习方法

Chowdhury Sayeed Hyder, Li Xiao
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引用次数: 1

摘要

认知无线电网络(Cognitive Radio Network, CRN)是为解决频谱稀缺问题而提出的一种新兴的网络概念。crn中通常有两种用户:主用户(PU)和从用户(SU)。SUs可以在不干扰pu正在进行的传输的情况下使用许可通道。传输的成功与否主要取决于单元对空闲信道的选择。因此,在上述约束条件下的渠道选择是一个重要的研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed learning approach for channel selection in Cognitive Radio Networks
Cognitive Radio Network (CRN) is an emerging networking concept that has been introduced to solve the spectrum scarcity problem. There are typically two kinds of users in CRN-primary users (PU) and secondary users (SU). SUs can opportunistically use licensed channels without interfering with the ongoing transmission of PUs. The successful transmission depends mostly on the selection of idle channels by SUs. Hence, channel selection under the aforementioned constraints is a significant research problem.
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