利用认知无线电提高高交通密度条件下的车联网性能

N. Kirsch, Brett M. O'Connor
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引用次数: 13

摘要

车辆自组织网络通过在车辆和路边单元之间共享信息来提高安全性和出行效率。当存在大量的频谱拥塞时,现有标准的性能会受到影响。当交通堵塞等车辆密度较大时,就会产生频谱拥塞。在本文中,我们提出了一种认知无线电系统,在空间和时间上为vanet增加额外的信道。这种额外的频谱可以提高吞吐量并降低分组冲突的概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the performance of vehicular networks in high traffic density conditions with cognitive radios
Vehicular ad hoc networks offer safety and travel efficiency by sharing information between vehicles and roadside units. The performance of current proposed standard can suffer when there is a large amount of spectral congestion. Spectral congestion can result when there is high vehicle density such as traffic jams. In this paper, we propose a cognitive radio system to spatially and temporally add additional channels to VANETs. This additional spectrum can increase the throughput and decrease the probability of packet collisions.
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