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Carrier Aggregation for Underlay Cognitive Radio Wireless Mesh Networks

机译:用于底层认知无线电无线网状网络的载波聚合

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Cognitive radio (CR) has emerged as a promising technology to solve the tremendous spectrum scarcity problem. Although CR has shown very interesting results, it is still dealing with some drawbacks such as blocking or forced termination events in opportunistic mode and capacity limitation in underlay mode. In this paper carrier aggregation is proposed for wireless mesh networks to enhance the network throughput in underlay CR condition. In the proposed scenario, the primary user uses traditional channels whereas the secondary user aggregates carriers in PU's channels for its transmission. An analytical performance study is carried out which shows the effectiveness of our proposal. With relatively few aggregated carriers per channel, carrier aggregation outperforms single channel and channel aggregation due to its higher detection probability. These results can be used to extend the already well known properties of wireless mesh networks and their applications.
机译:认知无线电(CR)已成为解决巨大频谱稀缺问题的有希望的技术。 虽然CR表明了非常有趣的结果,但它仍在处理一些缺点,例如在机会模式和底层模式下的容量限制中阻止或强制终止事件。 在本文中,提出了用于无线网状网络的载波聚合,以增强底层CR条件下的网络吞吐量。 在所提出的场景中,主用户使用传统信道,而辅助用户在PU通道中的载波进行其传输。 进行了分析性能研究,表明了我们提案的有效性。 对于每个通道相对较少的聚合载波,由于其较高的检测概率,载波聚合优于单个信道和信道聚集。 这些结果可用于扩展无线网状网络及其应用的已经众所周知的属性。

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