MuVi: a multicast video delivery scheme for 4g cellular networks
MuVi: a multicast video delivery scheme for 4g cellular networks
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DOI：
10.1145/2348543.2348571
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发表时间：
2012-08
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通讯作者：
Jongwon Yoon;Honghai Zhang;Suman Banerjee;S. Rangarajan
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作者：
Jongwon Yoon;Honghai Zhang;Suman Banerjee;S. Rangarajan
尽管无线宽带技术在过去十年中取得了显着发展，但仍然不足以支持快速增长的移动流量，特别是由于移动视频应用程序的日益普及。旨在利用无线广播优势的无线组播是弥合有限的无线网络容量与不断增长的移动视频流量需求之间差距的可行方法。在这项工作中，我们提出了 MuVi，一种基于 OFDMA 的 4G 无线网络中的组播视频传输方案，以优化组播视频流量。 MuVi 根据视频帧在重建视频中的重要性来区分视频帧，并采用高效的无线电资源分配算法来优化多播组中所有用户的整体视频质量。 MuVi是一个轻量级的解决方案，大部分实现在网关中，在基站中进行少量修改，在客户端处没有修改。我们在 WiMAX 测试台上实施 MuVi，并将其性能与采用最稳健的 MCS（调制和编码方案）的 Naive 无线多播方案以及采用所有客户端可支持的最高 MCS 的自适应方案进行比较。实验结果表明，与 Naive 和 Adaptive 方案相比，MuVi 将平均视频 PSNR（峰值信噪比）分别提高了 13 和 7 dB。 MuVi 不需要修改视频编码方案或空中接口。因此，它允许在现有系统中快速部署。
Although wireless broadband technologies have evolved significantly over the past decade, they are still insufficient to support the fast-growing mobile traffic, especially due to the increasing popularity of mobile video applications. Wireless multicast, aiming to exploit the wireless broadcast advantage, is a viable approach to bridge the gap between the limited wireless networking capacity and the ever-increasing mobile video traffic demand. In this work, we propose MuVi, a Multicast Video delivery scheme in OFDMA-based 4G wireless networks, to optimize multicast video traffic. MuVi differentiates video frames based on their importance in reconstructing the video and incorporates an efficient radio resource allocation algorithm to optimize the overall video quality across all users in the multicast group. MuVi is a lightweight solution with most of the implementation in the gateway, slight modification in the base-station, and no modification at the clients. We implement MuVi on a WiMAX testbed and compare its performance to a Naive wireless multicast scheme that employs the most robust MCS (Modulation and Coding Scheme), and an Adaptive scheme that employs the highest MCS supportable by all clients. Experimental results show that MuVi improves the average video PSNR (Peak Signal-to-Noise Ratio) by up to 13 and 7 dB compared to the Naive and the Adaptive schemes, respectively. MuVi does not require modification to the video encoding scheme or the air interface. Thus it allows speedy deployment in existing systems.