认知无线电架构综述

A. Amanna, Jeffrey H. Reed
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引用次数: 48

摘要

认知无线电和认知网络是新兴的研究领域,有可能改变当前的现状。认知系统利用频谱或网络条件等环境观察来改变操作配置,以优化单个节点或端到端目标的性能。本文概述了这些原始的认知框架,并将这些框架与当今的认知无线电实现联系起来。几个明确的实现和认知无线电架构进行了审查和比较。本文还确定了需要的领域,并通过与认知科学的跨学科合作,将预测和主动操作集成到认知无线电/网络架构中,并确定研究较少的人工智能算法,显示出对认知无线电架构的承诺,为该领域的新研究提出了前进方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survey of cognitive radio architectures
Cognitive Radio and Cognitive Networking are emerging fields of research that has the potential for transformative changes to the current status quo. Cognitive systems utilize environmental observations such as spectrum or network conditions to change operational configurations in order to optimize performance at individual node or over end-to-end goals. This paper surveys some of these origin cognitive frameworks and correlates these frameworks to cognitive radio implementations of today. Several definitive implementations and cognitive radio architectures are reviewed and compared. This paper also identifies area of need and suggests directions forward for novel research in this area through interdisciplinary collaboration with the cognitive sciences, integrating prediction and proactive operation into cognitive radio/network architectures and identifying less researched artificial intelligence algorithms that show promise towards cognitive radio architecture.
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