在长期演进网络上提高互联网协议电视和互联网协议语音的服务质量

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Communication Networks and Distributed Systems Pub Date : 2019-03-27 DOI:10.1504/IJCNDS.2019.10016428

A. Samrah, A. Khalil, H. Ibrahim

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引用次数: 0

摘要

在本文中，我们评估了指标的影响，这些指标可以被视为长期演进(LTE)网络中服务质量(QoS)的高效标准。此外，基于36种实时场景的仿真，我们提出了改变更可靠的调度技术对性能的影响，特别是智能天线的使用。再现实现了:1)高信噪比(SNR)达到40 dB;2)降低误码率(BER)估计;3)互联网协议电视(IPTV)的可接受延迟值为20 ms，互联网协议语音(VOIP)的可接受延迟值为80 ms;4)基于使用智能天线技术提高吞吐量范围，实现300数据包/秒和零数据包丢失，因此在我们提出的系统中，我们通过智能天线访问所有这些技术，整体增强接近95%，这是非常重要的标准。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Improving Quality of Service for Internet Protocol Television and Voice Over Internet Protocol over Long Term Evolution Networks

In this paper, we have assessed the impact of metrics which can be viewed as highly effective standards of the quality of service (QoS) over long-term evolution (LTE) networks. Additionally, we have proposed the impact of changing more reliable scheduling techniques on the performance based on the simulation of 36 real-time scenarios especially the usage of smart antennas. The re-enactment comes about fulfil: 1) higher signal to noise ratio (SNR) rates reached to 40 dB; 2) bring down estimations of bit error rate (BER); 3) acceptable delay values 20 ms for internet protocol television (IPTV) and 80 ms for voice over internet protocol (VOIP); 4) improved throughput ranges based on using smart antenna technique which realises 300 packets/sec and zero packets drops so it is very important criteria in our proposed system that we access all of those technologies over smart antenna with overall enhancements nears to 95%.

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来源期刊

International Journal of Communication Networks and Distributed Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.50

自引率

46.20%

发文量

期刊介绍： IJCNDS aims to improve the state-of-the-art of worldwide research in communication networks and distributed systems and to address the various methodologies, tools, techniques, algorithms and results. It is not limited to networking issues in telecommunications; network problems in other application domains such as biological networks, social networks, and chemical networks will also be considered. This feature helps in promoting interdisciplinary research in these areas.