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Multiple Antenna Spectrum Sensing in Colored Noise Read chapter Read first chapter

2019 | OriginalPaper | Chapter

9. Sequential Methods for Spectrum Sensing

Authors : Yan Xin, Lifeng Lai

Published in: Handbook of Cognitive Radio

Publisher: Springer Singapore

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Abstract

Spectrum sensing is widely regarded as a key enabling technology to support dynamic spectrum access (DSA) for cognitive radio (CR). Though in principle spectrum sensing can be viewed as a traditional signal detection problem, the design of spectrum sensing algorithms needs to take into account certain stringent requirements due to the nature of CR systems. Firstly, it is important for spectrum sensing algorithms to be robust to signal models as it is often difficult in practice for secondary users (SUs) to acquire complete or even partial knowledge about primary signals. Secondly, a small detection delay is essential for the spectrum sensing even under a fairly low detection signal-to-noise ratio (SNR) level with low detection error probabilities. This chapter focuses on a particular type of spectrum sensing algorithms, called sequential spectrum sensing algorithms for CR systems. Compared with block-based sensing algorithms, sequential sensing algorithms enable us to make detection decision with minimum delay while still providing certain performance guarantee. We will first illustrate the benefits of sequential detection for a single-band system. We will then discuss how to design quickest sequential scanning algorithms for multiband systems to quickly identify free channels.

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previous chapter Spectrum Sensing, Database, and Its Hybrid
next chapter Cooperative Spectrum Sensing: From Fundamental Limits to Practical Designs
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Metadata
Title
Sequential Methods for Spectrum Sensing
Authors
Yan Xin
Lifeng Lai
Copyright Year
2019
Publisher
Springer Singapore
Book
Handbook of Cognitive Radio

Print ISBN: 978-981-10-1393-5

Electronic ISBN: 978-981-10-1394-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-10-1394-2_9