Network assisted rate adaptation for conversational video over LTE, concept and performance evaluation

Y. Timner, J. Pettersson, H. Hannu, Min Wang, I. Johansson
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引用次数: 6

Abstract

This work investigates rate adaptation of conversational video in a mobile system using Long Term Evolution, LTE, and where the adaptation is assisted by the radio network. The conventional way to do rate adaptation is through adaptation in the end-points where the transmission rate is selected based on measurements of received packets. This study investigates two network-based algorithms for rate adaptation, a rate fair algorithm that assigns the same rate to all conversational video users in a cell, and a resource fair algorithm that aims to give all users in the cell a fair amount of resources. Both algorithms are combined with delay based scheduling. Both network-based algorithms perform excellently. The delay stays low even when the resource utilization is close to 100%, and the video rate is adapted to the system load. As could be expected, the average user rates are higher with the resource fair algorithm. An end-point based adaptation algorithm is investigated as well, but it cannot keep a low delay at high load.
LTE会话视频的网络辅助速率适应、概念和性能评估
这项工作研究了使用长期演进(LTE)的移动系统中会话视频的速率适应,以及无线网络辅助的适应。进行速率自适应的传统方法是通过端点的自适应,在端点中根据接收到的数据包的测量值选择传输速率。本研究研究了两种基于网络的速率适应算法,一种是速率公平算法,它为一个小区中的所有会话视频用户分配相同的速率,另一种是资源公平算法,旨在为小区中的所有用户提供相当数量的资源。这两种算法都与基于延迟的调度相结合。这两种基于网络的算法都表现出色。即使在资源利用率接近100%的情况下,延迟仍然很低,并且视频速率能够适应系统负载。正如预期的那样,使用资源公平算法的平均用户率更高。研究了一种基于端点的自适应算法,但该算法不能在高负载下保持低时延。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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