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QoE-aware mobile association and resource allocation over wireless heterogeneous networks

机译:无线异构网络上的QoE感知移动关联和资源分配

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As video content delivery over wireless networks is expected to grow tremendously in upcoming years, how to support energy and bandwidth consuming video applications with high Quality of Experience (QoE) becomes a challenging issue in the future wireless networks. Clearly, there is an urgency for a new disruptive paradigm to bridge the gap between the increasing capacity plus energy demands and the scarce wireless network resources. In this paper, we propose a spectrum and energy efficient mobile association and resource allocation scheme in wireless heterogeneous networks based on two new performance metrics: video content aware or QoE-aware Energy Efficiency (QEE) and video content aware or QoE-aware Spectral Efficiency (QSE). QEE and QSE evaluate the power consumption and bandwidth consumption from video quality's perspective. First we conduct a fundamental study between QEE and QSE in a point-to-point wireless environment. Then we propose a mobile associations and resource allocation scheme in a heterogeneous wireless network that can optimize QEE and QSE. The system level problem is formulated as a mixed-integer nonlinear optimization problem. Nonlinear fractional programming approach and dual decomposition method are applied to search the optimal solutions in a computationally efficient way.
机译:随着无线网络上视频内容的交付预计在未来几年中将大大增长,如何在未来的无线网络中,如何以高体验质量(QoE)支持耗能和带宽的视频应用成为一个具有挑战性的问题。显然,迫切需要一种新的破坏性范式,以弥合容量增加,能源需求增加和稀缺的无线网络资源之间的鸿沟。在本文中,我们基于两个新的性能指标提出了一种无线异构网络中的频谱和能源高效的移动关联和资源分配方案:视频内容感知或QoE感知能效(QEE)和视频内容感知或QoE感知频谱能效(QSE)。 QEE和QSE从视频质量的角度评估功耗和带宽消耗。首先,我们在点对点无线环境中进行QEE和QSE之间的基础研究。然后,我们提出了一种异构无线网络中的移动关联和资源分配方案,该方案可以优化QEE和QSE。系统级问题被表述为混合整数非线性优化问题。应用非线性分数规划方法和对偶分解方法以计算有效的方式搜索最优解。

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