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Coexistence scheme of licensed-assisted access using long-term evolution and wireless local area network for wireless sensor networks

机译:无线传感器网络使用长期演进和无线局域网的许可辅助访问的共存方案

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Wireless sensor networks have continuously evolved to provide better services and satisfy user demands. Through this, the number of wireless sensors and the amount of mobile traffic are exponentially growing every year. Long-term evolution technology can effectively resolve the problems caused by traffic growth; however, there are still limitations. Licensed-assisted access using long-term evolution technology has greatly improved the performance of existing long-term evolution heterogeneous networks with carrier aggregation. However, the existing wireless local area network sensor nodes remain a challenge. The licensed-assisted access using long-term evolution access point should efficiently handle the problem of monopolizing spectrum resources used by existing wireless local area network sensor nodes. In this article, we investigate an optimized time slot allocation technique for the coexistence of wireless local area network and licensed-assisted access using long-term evolution sensor nodes. In order to maximize the throughput of each wireless local area network and licensed-assisted access using long-term evolution sensor node in the proposed algorithm, we designed an objective function based on the number of wireless local area network/licensed-assisted access using long-term evolution sensor nodes and the queue size of each sensor, after which we developed the optimal parameters using Karush–Kuhn–Tucker conditions. Through extensive simulations, we show that the proposed scheme can significantly outperform the other existing techniques with respect to the throughput, channel utilization, delay, and transmission fairness.
机译:无线传感器网络不断发展,以提供更好的服务并满足用户需求。通过这种方式,无线传感器的数量和移动业务量每年都呈指数级增长。长期演进技术可以有效解决流量增长带来的问题;但是,仍然存在限制。使用长期演进技术的许可辅助访问已大大改善了现有的具有载波聚合的长期演进异构网络的性能。但是,现有的无线局域网传感器节点仍然是一个挑战。使用长期演进接入点的许可辅助接入应有效处理垄断现有无线局域网传感器节点使用的频谱资源的问题。在本文中,我们研究了一种优化的时隙分配技术,用于使用长期演进传感器节点的无线局域网和许可辅助访问的共存。为了在提出的算法中最大化每个无线局域网和使用长期演进传感器节点的许可辅助访问的吞吐量,我们基于使用长距离无线局域网/许可辅助访问的数量设计了一个目标函数长期演化传感器节点和每个传感器的队列大小,然后我们使用Karush–Kuhn–Tucker条件开发了最佳参数。通过广泛的仿真,我们表明,在吞吐量,信道利用率,延迟和传输公平性方面,所提出的方案可以明显优于其他现有技术。

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