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Design and Analysis of a Wireless Switched Digital Video Scheme for Mobile TV Services Over WiMAX Networks

机译：WiMAX网络上用于移动电视服务的无线交换数字视频方案的设计和分析

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摘要

Mobile WiMAX is emerging as one of the most promising systems for 4th generation mobile wireless networks in which it is foreseen that mobile TV services will proliferate. In general, TV applications are bandwidth hogs that cause a challenging capacity problem in wireless networks. To address this challenge, a novel scheme for mobile TV services over WiMAX network, called the wireless switched digital video (WSDV) scheme, is proposed in this paper. Compared with the conventional broadcast or unicast schemes, the hybrid approach introduced in our proposed WSDV approach exploits the merits of two conventional schemes and mitigates their demerits, which enables it to increase wireless capacity for mobile TV services. In addition, we present a WiMAX design tool, based on an analytical model, which facilitates analysis of the influence of some system parameters on wireless capacity. The analytical model can capture the details of WiMAX resource allocation and take into consideration the popularity of the mobile TV contents being viewed by users—enabling it to provide an accurate estimate of the amount of bandwidth required for WiMAX TV services and also enabling a designer to optimally select the number of channels via the WSDV service while meeting a desired level of blocking probability. In addition, we demonstrate that our proposed optimized scheme outperforms the conventional schemes with respect to blocking probability. Finally, an end-to-end solution to the WSDV scheme is also presented.
机译：移动WiMAX逐渐成为第四代移动无线网络中最有希望的系统之一，预计在其中移动电视服务将会激增。通常，电视应用是带宽消耗，会在无线网络中引起挑战性的容量问题。为了解决这一挑战，本文提出了一种用于WiMAX网络上的移动电视服务的新颖方案，称为无线交换数字视频（WSDV）方案。与常规广播或单播方案相比，在我们提出的WSDV方法中引入的混合方法利用了两种常规方案的优点并减轻了它们的缺点，从而使其能够增加移动电视服务的无线容量。此外，我们基于分析模型提供了一种WiMAX设计工具，该工具有助于分析某些系统参数对无线容量的影响。该分析模型可以捕获WiMAX资源分配的详细信息，并考虑用户正在观看的移动电视内容的普及程度，从而使其能够准确估计WiMAX TV服务所需的带宽量，并使设计人员能够在满足期望的阻塞概率水平的同时，通过WSDV服务优化选择通道数。此外，我们证明了我们提出的优化方案在阻塞概率方面优于传统方案。最后，还介绍了WSDV方案的端到端解决方案。

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