System info of multi-domain cognition in cognitive radio networks

Guoru Ding, Qi-hui Wu, Jinlong Wang, Yuping Gong
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引用次数: 3

Abstract

The environment cognition of cognitive radio networks (CRN) is extending from wireless domain (WD) to network domain (ND), user domain (UD) and policy domain (PD). In this paper, we propose three-layer system info of multi-domain cognition (MDC) with the characteristic of policy restriction and the capability of learning and reasoning. Especially, multi-domain local cognition (MDLC) layer performs the acquirement of mass multi-domain cognition information (CI). Integrative consideration of effective expression, efficient transfer and distributive processing, multi-domain cooperative cognition (MDCC) layer implements rational flow and fusion of CI and multi-domain initiative cognition (MDIC) layer effectively utilizes CI by prediction and reasoning. After interpreting the connotation of MDC, we also present cognition framework in space and the simple mathematic model of MDC. In addition, we present the research challenges ahead as well.
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认知无线电网络中多域认知的系统信息
认知无线网络(CRN)的环境认知正在从无线域(WD)向网络域(ND)、用户域(UD)和策略域(PD)扩展。本文提出了具有策略约束和学习推理能力的三层多域认知系统信息。其中,多领域局部认知(MDLC)层负责大量多领域认知信息的获取。多领域协同认知(MDCC)层综合考虑有效表达、高效传递和分布式处理,实现CI的合理流动和融合,多领域主动认知(MDIC)层通过预测和推理有效利用CI。在阐释了多维数据集的内涵后,提出了多维数据集的空间认知框架和简单的数学模型。此外,我们也提出了未来的研究挑战。
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