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2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)最新文献

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NEWCAST: Anticipating resource management and QoE provisioning for mobile video streaming 预测移动视频流的资源管理和QoE供应
Imen Triki, R. E. Azouzi, Majed Haddad
The knowledge of the future capacity variations in wireless networks using smartphones becomes more and more possible by exploiting the rich contextual information from smartphone sensors through mobile applications and services. It is entirely likely that such contextual information, which may include the traffic, mobility and radio conditions, could lead to a novel agile resource management not yet thought of. Inspired by the attractive features and potential advantages of this agile resource management, several approaches have been proposed during the last period. However, agile resource management also comes with its own challenges, and there are significant technical issues that still need to be addressed for successful rollout and operation of this technique. In this paper, we propose an approach (called NEWCAST) for anticipating throughput variation for mobile video streaming services. The solution of the optimization problem realizes a fundamental trade-off among critical metrics that impact the user's perceptual quality of the experience (QoE) and system utilization. Both simulated and real-world traces collected from [1] are carried out to evaluate the performance of NEWCAST. In particular, it is shown that NEWCAST provides the efficiency, computational complexity and robustness that the new 5G architectures require.
通过移动应用程序和服务,利用智能手机传感器提供的丰富上下文信息,了解使用智能手机的无线网络的未来容量变化变得越来越可能。这些上下文信息(可能包括交通、机动性和无线电条件)完全有可能导致一种尚未想到的新型敏捷资源管理。受敏捷资源管理吸引人的特性和潜在优势的启发,在过去的一段时间里提出了几种方法。然而,敏捷资源管理也有其自身的挑战,并且为了成功地推出和操作该技术,仍然需要解决一些重要的技术问题。在本文中,我们提出了一种方法(称为NEWCAST)来预测移动视频流服务的吞吐量变化。优化问题的解决方案实现了影响用户体验感知质量(QoE)和系统利用率的关键指标之间的基本权衡。从[1]收集的模拟和真实轨迹进行了评估,以评估NEWCAST的性能。特别是,NEWCAST提供了新的5G架构所需的效率、计算复杂性和鲁棒性。
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引用次数: 10
Network coding: Connections between information theory and estimation theory 网络编码:信息论与估计论的联系
Samah A. M. Ghanem
In this paper, we prove the existence of fundamental relations between information theory and estimation theory for network-coded flows. When the network is represented by a directed graph g = (V, ε) and under the assumption of uncorrelated noise over information flows between the directed links connecting transmitters, switches (relays), and receivers. We unveil that there yet exist closed-form relations for the gradient of the mutual information with respect to different components of the system matrix M. On the one hand, this result opens a new class of problems casting further insights into effects of the network topology, topological changes when nodes are mobile, and the impact of errors and delays in certain links into the network capacity which can be further studied in scenarios where one source multi-sinks multicasts and multi-source multicast where the invertibility and the rank of matrix M plays a significant role in the decoding process and therefore, on the network capacity. On the other hand, it opens further research questions of finding precoding solutions adapted to the network level.
本文证明了网络编码流的信息论和估计论之间存在着基本的联系。当网络由有向图g = (V, ε)表示,并且假设在连接发射器,交换机(继电器)和接收器的有向链路之间的信息流上存在不相关噪声时。我们揭示了互信息的梯度相对于系统矩阵m的不同组成部分仍然存在封闭形式的关系。一方面,这一结果开辟了一类新的问题,进一步深入了解网络拓扑的影响,当节点移动时拓扑变化,以及某些链路的错误和延迟对网络容量的影响,这些可以在单源多汇组播和多源组播场景中进一步研究,其中矩阵M的可逆性和秩在解码过程中起着重要作用,因此对网络容量也有很大影响。另一方面,也为寻找适应网络层面的预编码解决方案开辟了进一步的研究课题。
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引用次数: 5
期刊
2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)
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