考虑密集无线区域同信道干扰的电视白空间协同认知捆绑

U. Al-Haddad, G. Aldabbagh, N. Dimitriou
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引用次数: 1

摘要

大量的人使用他们的智能手机和平板电脑来分享照片,上传视频或发送消息和下载其他信息。这些活动造成流量负荷,缺乏有效的频谱利用,特别是在人口密集地区。本文研究了在人口密集地区引入热点从配置节点所能获得的性能增益。该算法通过迭代地将节点聚类为热点节点和从节点,并进行资源分配,使频谱效率最大化。这种方法不需要任何额外的基础设施。仿真结果表明,与节点与基站直接连接相比,该算法可以显著提高网络的整体性能,提高5倍,从而提高小区的容量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coordinated Cognitive Tethering over TV White-Spaces Considering Co-channel Interference in Dense Wireless Areas
Enormous number of people use their smart phones and tablets to share photos, upload videos or send messages and download other information. These activities creates traffic load with lack of efficient spectrum utilization especially in dense areas. This paper investigates the performance gain that can be achieved by introducing a hotspot-slave configuration of nodes in densely populated areas. The proposed algorithm aims to maximize spectrum efficacy by iteratively clustering the nodes into hotspots and slaves and allocating resources. This approach does not require any additional infrastructure. Simulation results show that the proposed algorithm can significantly enhance the overall performance of the network by five times as compared to direct connection between the nodes and the base station, hence increasing the capacity of the cell.
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