考虑节点能力的在线教学无线视频流资源动态分配方法

Sci. Program. Pub Date : 2022-01-13 DOI:10.1155/2022/4391188
Jingrong Lu, Hongtao Gao
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引用次数: 2

摘要

当前,无线网络技术突飞猛进,智能设备逐渐普及,使得移动流媒体业务迅速发展。各种移动视频应用随机承载着巨大的流量,丰富了人们的生活。无线网络(WNs)面临着前所未有的负担,它分配了非常重要的无线视频资源。同样,在无线网络中,网络状态是动态的,终端是异构的,这使得传统的视频传输系统无法满足用户的需求。因此,在视频传输系统中引入了可伸缩视频编码(SVC)来实现码率自适应。然而,在严格分层的传统计算机网络中,无线资源分配策略通常以吞吐量作为优化目标的唯一途径,对于可扩展的视频传输进行更多的优化是很糟糕的。本文提出了一种跨层设计,实现无线基站与视频服务器之间的信息传输,实现联合优化。为了提高用户对视频业务的满意度,将无线资源分配问题和视频流调度问题结合起来考虑,使优化空间更大。基于所提出的架构,我们进一步研究了长期演进(LTE)下行链路中多用户可扩展视频传输场景的无线资源分配算法和速率自适应算法的设计。实验结果表明,所提出的工作有实质性的性能提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online Teaching Wireless Video Stream Resource Dynamic Allocation Method considering Node Ability
At present, wireless network technology is advancing rapidly, and intelligent equipment is gradually popularized, which rapidly developed the mobile streaming media business. All kinds of mobile video applications have enriched people’s lives by carrying huge traffic randomly. Wireless networks (WNs) are facing an unprecedented burden, which allocates very important wireless video resources. Similarly, in WNs, the network status is dynamic and the terminal is heterogeneous, which causes the traditional video transmission system to fail to meet the needs of users. Hence, Scalable Video Coding (SVC) has been introduced in the video transmission system to achieve bit rate adaptation. However, in a strictly hierarchical traditional computer network, the wireless resource allocation strategy usually takes throughput as the only way to optimize the target, and it is terrible to make more optimizations for scalable video transmission. This article proposed a cross-layer design to enable information to be transmitted between the wireless base station and the video server to achieve joint optimization. To improve users’ satisfaction with video services, the wireless resource allocation problem and the video stream scheduling problem are jointly considered, which keep the optimization space larger. Based on the proposed architecture, we further study the design of wireless resource allocation algorithms and rate-adaptive algorithms for the scenario of multiuser transmission of scalable video in the Long-Term Evolution (LTE) downlink. Experimental outcomes have shown substantial performance enhancement of the proposed work.
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