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A simple neural framework for bandwidth reservation of VoIP communications in cost-effective devices

机译:一种经济的设备中用于VoIP通信带宽预留的简单神经框架

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摘要

Voice over IP (VoIP) is a widely recognized killer application of the Internet and it has been integrated within many services (for instance to enrich the on-line gaming experience). In addition, such feature is often natively supported by mobile devices equipped with IEEE 802.11-based communications, or by standard UMTS (Universal Mobile Telecommunication System) cellular phones. Nevertheless, Beyond 3rd Generation (B3G) telephony is expected to fully support IP-based communications. In this perspective, this paper analyzes the feasibility of adopting a simple framework, based on neural networks, to reserve bandwidth, when in presence of VoIP communications. The framework has been designed to be simply embeddable within a wide range of cost-effective consumer devices (e.g., xDSL modems, cellular phones and network appliances).
机译:IP语音(VoIP)是Internet上公认的杀手级应用,它已集成到许多服务中(例如,以丰富在线游戏体验)。另外,配备有基于IEEE 802.11的通信的移动设备或标准的UMTS(通用移动电信系统)蜂窝电话通常固有地支持这种功能。尽管如此,第三代(B3G)以上的电话有望完全支持基于IP的通信。从这个角度出发,本文分析了在存在VoIP通信时采用基于神经网络的简单框架来保留带宽的可行性。该框架被设计为可以简单地嵌入到各种具有成本效益的消费设备(例如xDSL调制解调器,蜂窝电话和网络设备)中。

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