用效用和优先级知识扩展政策语言:CAPRI方法

J. Riihijarvi, M. Petrova, V. Atanasovski, L. Gavrilovska
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引用次数: 12

摘要

认知无线电的研究主要集中在动态频谱接入概念上,其中一个关键的架构组件是表达和调节策略的能力。在本文中,我们将报告我们将现有策略语言和服务器概念扩展到更广泛上下文中所做的工作。由于认知无线电最终将成为软件定义的无线电,因此需要管理许多与频谱无关的策略。事实上,频谱和其他政策之间存在着丰富的相互作用,在最终的政策推理中,它们可以相互影响。我们将讨论扩展策略语言的基本原理,以包含用户和应用程序感知的实用程序的功能描述。我们还添加了各种方式来表达技术和服务之间的优先级和偏好。此外,我们还报告了正在进行的工作和结果,这些工作和结果是我们在实现这些扩展时获得的,这些扩展是SRI早先提出的CoRaL语言的一部分。我们还概述了这种扩展的政策含义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extending Policy Languages with Utility and Prioritization Knowledge: The CAPRI Approach
Cognitive Radio research has been focusing mostly on Dynamic Spectrum Access concepts, and one of the key architectural components there is the capability to express and regulate Policies. In this paper we will report on our work of extending the existing policy language and server concepts to a wider context. As cognitive radios will eventually become software defined radios, there is a number of non-spectrum related policies that require management. In fact, there is a rich interplay between spectrum and other policies, and they can influence each other in the final policy reasoning. We discuss the rationale on extending policy languages to include functional description of utilities that users and applications perceive. We add also various ways to express priorities and preferences between technologies and services. Further we report on the on-going work and results, which we have obtained on implementing such extensions as a part of CoRaL language that has been proposed earlier by SRI. We also outline policy implications of such extensions.
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