室内小蜂窝网络中多视点视频qos感知节能组播

Quanxin Zhao, Y. Mao, S. Leng, Yuming Jiang
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引用次数: 9

摘要

多视点视频(Multi-view video, MVV)是由多个距离较近的摄像机同时捕获的多个视频流组成的,用户可以通过播放不同的视频流来自由地改变视点。这些近距离部署的摄像机将捕获重叠帧(OFs),然后在多个视频流中传输OFs。随着视点从一个流转换到另一个流,后一个流中的冗余OFs对用户来说可能是无用的。而且,随着用户数量的增加,冗余传输会增加,对基站和用户都造成严重的带宽浪费。为了减少OFs的冗余传输和提高能效,提出了一种基于多用户依赖多视图视频流(UMSM)的重叠减少多视图视频传输(ORMVVT)新架构,用于小蜂窝网络(SCNs)中MVV的下行传输。然后,引入了一种新的资源分配模型,帮助用户根据其服务质量(QoS)需求实现不同的数据速率。相反,为了实现简单,现有的方案只能支持多播组中所有用户的单一接收数据速率。在此基础上,提出了在服务QoS约束下实现EE最大化的优化问题。最后,提出了一种次优qos感知节能组播资源分配方案(QEMRA),以降低计算复杂度。数值结果表明,所提出的低复杂度QEMRA方案能够在一般衰落分布下获得接近最优的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QoS-aware energy-efficient multicast for multi-view video in indoor small cell networks
Multi-view video (MVV) consists of multiple video streams captured simultaneously by multiple closely spaced cameras and enables users to freely change their viewpoints by playing different video streams. Those close deployed cameras will capture overlapping frames (OFs) and then transmit OFs in multiple video streams. With the viewpoint change from one stream to another, redundant OFs in the latter stream can be useless for a user. Moreover, the redundant transmission will increase with the number of users and result in severe bandwidth waste for both base stations and users. In order to reduce the redundant transmission of OFs and increase energy efficiency (EE), a new architecture Overlapping Reduced Multi-view Video Transmission (ORMVVT), which is based on User dependent Multi-view video Streaming for Multi-users (UMSM), is proposed for downlink transmission of MVV in small cell networks (SCNs). Then, a novel resource allocation model is introduced to help users achieve different data rates according to their Quality of Service (QoS) requirements. Contrarily, for the simplicity of implementation, existing schemes can only support a single reception data rate for all users in a multicast group. Further, we formulate an optimization problem to maximize the EE with the QoS constraint of services. Finally, a suboptimal QoS-aware Energy-efficient Multicast Resource Allocation scheme (QEMRA) is proposed to reduce the computational complexity. Numerical results show that the proposed low-complexity QEMRA scheme is able to get a close-to-optimal performance under general fading distributions.
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