多播移动网络中无线资源分配的扩展优化机制

Q4 Business, Management and Accounting
J. B. Abdo, Rabih Jreish, J. Demerjian
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引用次数: 0

摘要

移动通信模式已经从发射器和接收器的封闭网络转变为传输内容提供商所提供的内容的接入网络。许多现有的和未来的应用程序向大多数(如果不是全部)客户机提供相同的内容。这些应用程序包括群体感知、新闻和交通监控门户。如果这些应用程序使用多播消息而不是单播消息,移动运营商将在很大程度上受益。多播通信很适合这种应用,但在某些情况下,其效率可能会下降到单播的水平。在这项工作中,我们将提出一种机制来优化用于多播的无线电资源分配,从而为移动运营商提供在不影响用户满意度的情况下增加利润的机会。在不同的仿真场景下测量了所提出的机制的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extended optimisation mechanism for radio resource allocation in multicast mobile networks
Mobile communication paradigm has shifted from a closed network of transmitters and receivers to an access network transporting what the content providers have to offer. Many existing and future applications offer the same content to most, if not all, clients. These applications include crowdsensing, news, and traffic monitoring portals. Mobile operators would largely benefit if such applications use multicast messages instead of unicast. Multicast communication suits such applications, but in some scenarios its efficiency can drop to reach that of unicast. In this work, we will propose a mechanism to optimise the allocation of radio resources when used for multicast, thus offering the mobile operator an opportunity to increase profit without affecting user satisfaction. The performance of the proposed mechanism is measured for various simulation scenarios.
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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