基于水下认知声网络的高效mac层频谱感知方案

Xi Zhang, Qixuan Zhu, Jingqing Wang
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引用次数: 1

摘要

认知接入技术最初是针对无线电通信网络发展起来的,近年来已扩展到水声网络的研究领域。开发水下认知声网络的一个重要问题是如何优化频谱感知策略,最大限度地利用由于缺少主声用户而产生的频谱空穴。为了克服这一挑战,我们提出了媒体访问控制(MAC)层频谱感知方案,在获得最大信噪比的同时,寻找具有最小信道交换延迟的频谱孔。采用我们提出的mac层频谱感知方案,二次水声用户有效地降低了信道切换延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient MAC-layer spectrum sensing scheme over underwater cognitive acoustic networks
The cognitive access techniques were originally developed for radio communication networks, and are recently extended to the research area for underwater acoustic networks. One of the important problems for developing the underwater cognitive acoustic networks lies in the optimal spectrum sensing strategy to maximize the exploitation of spectrum holes, which are the idle channels due to the absence of the primary acoustic user. To overcome this challenge, we propose the media access control (MAC)-layer spectrum sensing scheme to find the spectrum hole with minimum channel switching delay while obtaining the maximum signal-to-noise ratio. Using our proposed MAC-layer spectrum sensing scheme, the secondary underwater acoustic users efficiently reduce the channel switching delay.
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