Spectrum sensing challenges: blind sensing and sensing optimization
| Autor: | Slimane Ben Slimane, Wendy Van Moer, Mohamed Hamid, Niclas Björsell |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Blindness business.industry Wireless network Distributed computing 020208 electrical & electronic engineering Bandwidth (signal processing) Detector 020206 networking & telecommunications 02 engineering and technology medicine.disease Radio spectrum Cognitive radio 0202 electrical engineering electronic engineering information engineering medicine Electronic engineering Wireless Electrical and Electronic Engineering business Instrumentation |
| Zdroj: | IEEE Instrumentation & Measurement Magazine. 19:44-52 |
| ISSN: | 1094-6969 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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