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Coordinated Cognitive Tethering over TV White-Spaces Considering Co-channel Interference in Dense Wireless Areas

机译:考虑到密集无线区域中同频道干扰的电视空白空间上的协同认知网络共享

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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.
机译:大量的人使用他们的智能手机和平板电脑共享照片,上传视频或发送消息以及下载其他信息。这些活动在缺乏有效频谱利用的情况下造成了通信量负载,尤其是在稠密地区。本文研究了通过在人口稠密地区引入节点的热点-从属配置可以实现的性能提升。所提出的算法旨在通过将节点迭代地聚类为热点和从属节点并分配资源来最大化频谱效率。这种方法不需要任何其他基础结构。仿真结果表明,与节点与基站之间的直接连接相比,该算法可以显着提高网络的整体性能五倍。

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