Please use this identifier to cite or link to this item: http://dlib.scu.ac.ir/handle/Hannan/184261
Title: Spectrum sensing challenges: blind sensing and sensing optimization
Authors: Mohamed Hamid;Slimane Ben Slimane;Wendy Van Moer;Niclas Bjorsell
subject: blind sensing|next generation wireless network|dynamic spectrum access|spectrum sensing challenge|cognitive radio|electromagnetic radio spectrum|sensing optimization|DSA
Year: 2016
Publisher: IEEE
Abstract: 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.
Description: 
URI: http://localhost/handle/Hannan/184261
ISSN: 1094-6969
volume: 19
issue: 2
More Information: 44
52
Appears in Collections:2016

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Title: Spectrum sensing challenges: blind sensing and sensing optimization
Authors: Mohamed Hamid;Slimane Ben Slimane;Wendy Van Moer;Niclas Bjorsell
subject: blind sensing|next generation wireless network|dynamic spectrum access|spectrum sensing challenge|cognitive radio|electromagnetic radio spectrum|sensing optimization|DSA
Year: 2016
Publisher: IEEE
Abstract: 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.
Description: 
URI: http://localhost/handle/Hannan/184261
ISSN: 1094-6969
volume: 19
issue: 2
More Information: 44
52
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7462794.pdf737.18 kBAdobe PDFThumbnail
Preview File
Title: Spectrum sensing challenges: blind sensing and sensing optimization
Authors: Mohamed Hamid;Slimane Ben Slimane;Wendy Van Moer;Niclas Bjorsell
subject: blind sensing|next generation wireless network|dynamic spectrum access|spectrum sensing challenge|cognitive radio|electromagnetic radio spectrum|sensing optimization|DSA
Year: 2016
Publisher: IEEE
Abstract: 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.
Description: 
URI: http://localhost/handle/Hannan/184261
ISSN: 1094-6969
volume: 19
issue: 2
More Information: 44
52
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7462794.pdf737.18 kBAdobe PDFThumbnail
Preview File