基于认知的差分跳频网络

Zhuo Cheng, Shu Wang, Xiaoxu Qu, Shu Yan, F. Hu, An Li
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引用次数: 3

摘要

认知无线电(CR)是一种革命性的无线移动通信技术。智能用户可以利用CR技术感知周围环境,搜索可用频谱资源,动态接入频谱。差分跳频技术是提高高频通信系统数据速率的一种有效的跳频技术。本研究将认知无线电技术应用于DFH,提出了一种CogDFH网络。该网络建立在干扰温度模型、图的ic着色和ic指标的基础上,应用于构建简单、鲁棒性高、干扰小的DHF网络。分别对基于认知的DFH网络和传统DFH网络进行了场景仿真。结果表明,CR可以提高网络性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CogDFH- a Cognitive-Based differential frequency hopping network
Cognitive radio (CR) is a revolutionary wireless mobile communication technology. Smart users can use the CR technology to sense the surrounding environment, search for available spectrum resources and access spectrum dynamically. Differential frequency hopping (DFH) is known as an effective FH technique for increasing data rate of HF communication system. In this study, the cognitive radio technology was applied in DFH, and a CogDFH network was proposed. This network which is built upon the interference temperature model, IC-colorings and IC-indices of graphs, was applied to the DHF network with easy build, high robustness and low interference. The scenario simulations of both Cognitive-Based DFH Network and traditional DFH were performed. The results indicate that the network performance can be improved by CR.
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