面向下一代认知无线电的局部频谱感知特征提取研究进展

A. Ivanov
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引用次数: 3

摘要

在当前为实现未来通信而开发的网络的背景下,认知无线电(CR)的概念具有重要的地位。它在现代超密集网络(UDN)中的实现需要为CR系统的主要功能开发新颖和改进的自适应解决方案。该技术在解决传统通信网络存在的严重频谱利用不足问题方面具有很大的潜力,因此近年来进行了持续而实质性的研究工作。CRs面临的主要挑战是在不给现有(主要)用户造成不必要干扰的情况下优化频谱利用。因此,研究的一个重要部分是针对至关重要的频谱传感功能。本文回顾了CR在UDN中的潜在用途,以及在信号检测方面对频谱感知建模的主要方法。综述了局部频谱传感技术,并介绍了其数学定义的优缺点。特别关注文献中考虑的信道模型,以及从接收信号中提取哪些特征以实现准确检测。
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Feature Extraction in Local Spectrum Sensing for Next Generation Cognitive Radios – A Review
In the context of the currently developed networks for the realization of future communications, the concept of Cognitive Radio (CR) has a significant place. Its implementation in modern ultra-dense networks (UDN) requires the development of novel and improved adaptive solutions for the main functionalities of a CR system. This technology has a great potential for solving the significant spectrum underutilization issue which has been established as characteristic for the traditional communication networks and hence, the continual and substantive research efforts in the recent years. The principal challenge for CRs is the optimization of spectrum utilization without creating unwanted interference for the incumbent (primary) users. Thus, a significant portion of the research is directed towards the vital spectrum sensing functionality. This paper reviews the potential uses of CR in UDN as well as the main approaches for modeling of spectrum sensing with respect to signal detection. The review focuses on local spectrum sensing techniques and presents the strengths and weaknesses of their mathematical definition. Specific attention is given to the channel models which are considered in the literature and to what kinds of features are extracted from the received signal to achieve accurate detection.
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