A Framework for Efficient Wireless Video Communication: Dynamic Source/Channel Adaptation and Distortion Evaluation

[0311838]人们对支持无线网络上的视频通信非常感兴趣。由于视频应用对服务质量（QoS）的严格要求和无线信道的许多缺陷，这不是一项简单的任务。视频的两个重要的QoS特性是信号失真程度和传输延迟。无线信道是有损的，具有时变响应，并且受到多用户干扰。此外，由于无线网络的用户是移动的，因此有效地利用可用能量是一个关键的考虑因素。di。无线视频的固有特性可以在物理层和源编码层进行处理。我们在一个跨层框架中共同考虑了这些方法的组合，特别是，我们考虑了共同适应源编码参数，如量化步长和预测模式，以及物理层资源，如传输速率和功率。我们的目标是在考虑系统约束（如可用能量）的同时提供可接受的QoS。我们提出了一个通用框架，该框架允许许多资源/扭曲优化公式来平衡di的要求。不同的应用程序。

ABSTRACT0311838Pappas, ThrasyvoulosNorthwestern UThere has been much interest in supporting video communication over wireless networks. This isnot a simple task due to the stringent Quality of Service (QoS) required by video applications andthe many impairments of wireless channels. Two important QoS characteristics for video are thedegree of signal distortion and the transmission delay. Wireless channels are lossy, have a timevaryingresponse, and are subject to multi-user interference. Furthermore, since users of a wirelessnetwork are mobile, e.ciently utilizing the available energy is a key consideration.The di.culties inherent in wireless video can be addressed at both the physical layer and thesource coding layer. We jointly consider a combination of these approaches in a cross-layer framework.Speci.cally, we consider jointly adapting source coding parameters, such as the quantizationstep-size and prediction mode, along with physical layer resources, such as the transmission rate andpower. Our goal is to provide acceptable QoS while taking into account system constraints such asthe available energy. We propose a general framework that allows a number of resource/distortionoptimal formulations for balancing the requirements of di.erent applications.