论文标题

利用多播视频流的多连通性

Leveraging Multi-Connectivity for Multicast Video Streaming

论文作者

Zuhra, Sadaf ul, Chaporkar, Prasanna, Karandikar, Abhay, Jha, Pranav

论文摘要

多连通性已成为在蜂窝移动网络中提供无缝连通性的关键推动力。但是,它提高多播变速器质量的​​潜力尚未开发。在本文中,我们研究了在无线多播流中多连通性的使用。多连通性可以显着提高多播服务的性能。它尤其受益于经常患有频道条件差的细胞边缘使用者。在这项工作中,我们评估了多连通性对多播流的性能的影响。我们提出了在多播系统中建立多连接性并解决相关资源分配问题的程序。我们证明最佳资源分配问题是NP-HARD。我们为此问题提出了一种贪婪的近似算法,并证明没有其他多项式算法可以提供更好的近似值。由于视频流是此处考虑的主要用例,因此我们使用实际视频中的痕迹来在模拟中生成现实的视频流量模式。我们的仿真结果清楚地表明,多连通性会导致多播流的性能改善。

Multi-connectivity has emerged as a key enabler for providing seamless connectivity in cellular mobile networks. However, its potential for improving the quality of multicast transmissions has remained unexplored. In this paper, we investigate the use of multi-connectivity in wireless multicast streaming. Multi-connectivity can significantly improve the performance of multicast services. It especially benefits the cell edge users who often suffer from poor channel conditions. In this work, we assess the impact of multi-connectivity on the performance of multicast streaming. We propose procedures for establishing multi-connectivity in a multicast system and address the associated resource allocation problem. We prove that the optimal resource allocation problem is NP-hard. We propose a greedy approximation algorithm for this problem and prove that no other polynomial-time algorithm can provide a better approximation. Since video streaming is the primary use case under consideration here, we use traces from actual videos to generate realistic video traffic patterns in our simulations. Our simulation results clearly establish that multi-connectivity results in considerable performance improvement in multicast streaming.

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