Link quality prediction for wireless devices with multiple radios

Qiuyi Duan, Lei Wang, C. Knutson, D. Zappala
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引用次数: 3

Abstract

Communication between wireless devices ought to be as simple as possible; they should be able to seamlessly switch between different radios and network stacks on the fly in order to better serve the user. To make this a possibility, we consider the challenging problem of predicting link quality in a changing mobile environment. In this paper we present an algorithm that uses Weighted Least Squares Regression to predict whether a given link can meet application requirements in terms of throughput, delay, and jitter. We use a simulation study to demonstrate that our algorithm is able to predict link quality accurately and stably in a frequently changing mobile environment. The prediction algorithm is more accurate than several alternative algorithms, and the overhead caused by the link measurements is negligible in terms of throughput and power consumption.
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具有多个无线电的无线设备的链路质量预测
无线设备之间的通信应该尽可能简单;他们应该能够在不同的无线电和网络堆栈之间无缝切换,以便更好地为用户服务。为了使这成为可能,我们考虑了在不断变化的移动环境中预测链接质量的挑战性问题。在本文中,我们提出了一种算法,该算法使用加权最小二乘回归来预测给定链路是否可以在吞吐量,延迟和抖动方面满足应用需求。我们通过仿真研究证明了我们的算法能够在频繁变化的移动环境中准确稳定地预测链路质量。预测算法比几种替代算法更准确,并且链路测量引起的开销在吞吐量和功耗方面可以忽略不计。
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Low complexity real-time video transcoders for mobile video applications A Novel MAC scheme for solving the QoS parameter adjustment problem in IEEE 802.11e EDCA Link quality prediction for wireless devices with multiple radios Scalable architecture for context-aware activity-detecting mobile recommendation systems A software tool to relate technical performance to user experience in a mobile context
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