Study On Resource Allocation For Wireless Video Transmission System

With the rapid development in wireless communication, the enhancement of the wireless channel band width, and the popularity of mobile devices with multimedia data processing ability, multimedia applications in wireless environment draw great attention in the third and forth generation mobile communication. At the meantime, the processing capabilities insufficiency of mobile device and the microprocessor's power-constraint problem caused by battery become the major restriction to the development of wireless multimedia applications. Sponsored by Programs of National Science Foundation of China"Complexity Scalable Power-Rate-Distortion Model for Wireless Video Communication (Grant No.60572063)"and Doctoral Foundation of Ministry of Education in China"Extended Rate-Distortion Theory and its Applications in Wireless Communication", this thesis is focusing on analyzing resource optimal allocation for wireless video communication. under the framework of this power-rate-distortion model, this thesis proposes a new solution for optimal system resource allocation under restrained bandwidth and energy. Our algorithm gain remarkable system improvement by optimally allocating resources based on frame importance and current channel condition.In general, the research work of this thesis could be summarized as follow:Firstly, a channel rate-distortion model for bit error was established in this thesis. Different from the channel distortion estimate for packets loss proposed by previous work, our model is compatible with no packet-switched network, such as UMTS CS domain and bit level error resilience tools is also supported. Furthermore, the model plays a foundational role in a RD-based framework for optimal designing.Secondly, after analyzing the main encoding modules of a typical video encoding system, a simple method for estimating coding complexity per frame is proposed, and also the relationship between runtime and power consumption is modeled successfully in general hardware platform. This model ensures a framework of joint coding and radio scheme designing.Thirdly, with above analyses, this thesis establishes the power-rate-distortion model for wireless video transmission and proposes a new solution for optimal system resource allocation under restrained bandwidth and energy. Our algorithm gain remarkable system improvement by optimally allocating resources based on frame importance and current channel condition.By proposed integrated power-rate-distortion model for wireless communication, this thesis presents the framework of designing optimal system resource allocation scheme under power restriction. Because of joint considering source coding and radio power adaptation, our solution of optimal allocating system resources improve system performance distinctly. In addition, method of this thesis provides an available solution for controllable tradeoff between video quality and resource consumption. System would employ optimal coding and radio scheme adaptively by requirement of video quality and resource consumption, which lead a hand to diverse and different video service.