Spectrum sensing challenges: Blind sensing and sensing optimization

被引：8

作者：

Hamid M. ^{[1
]}

Slimane S.B. ^{[2
]}

Moer W.V. ^{[3
]}

Bjorsell N. ^{[4
]}

机构：

[1] University of Agder, Intelligent Signal Processing and Wireless Networks (WISENET) Lab

[2] Department of Signals, Sensors, and Systems, Royal Institute Technology

[3] Department of Electronics, Mathematics and Natural Sciences, University of Gavle, Gavle

来源：

IEEE Instrumentation and Measurement Magazine | 2016年 / 19卷 / 02期

关键词：

Radio - Radio systems - Wireless networks;

D O I：

10.1109/MIM.2016.7462794

中图分类号：

学科分类号：

摘要：

By any measure, wireless communications is one of the most evolving fields in engineering. This, in return, has imposed many challenges, especially in handling the hunger for higher data rates in the next generation wireless networks. Among these challenges is how to provide the needed resources in terms of the electromagnetic radio spectrum for these networks. In this regard, cognitive radio (CR) based on dynamic spectrum access (DSA) has been attracting huge attention as a promising solution for more efficient utilization of the available radio spectrum. DSA is based on finding and opportunistically accessing the free-of-use portions of spectrum. To facilitate DSA, spectrum sensing can be used. However, spectrum sensing faces many challenges in different aspects. Such aspects include blind sensing and sensing optimization, which are both to a great extent measurement challenges. We discuss different contributions in addressing these two challenges in this article. © 1998-2012 IEEE.

引用

页码：44 / 52

页数：8

共 28 条

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