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RESEARCH PRODUCT
Spectrum sensing challenges: blind sensing and sensing optimization
Slimane Ben SlimaneWendy Van MoerMohamed HamidNiclas Björsellsubject
EngineeringBlindnessbusiness.industryWireless networkDistributed computing020208 electrical & electronic engineeringBandwidth (signal processing)Detector020206 networking & telecommunications02 engineering and technologymedicine.diseaseRadio spectrumCognitive radio0202 electrical engineering electronic engineering information engineeringmedicineElectronic engineeringWirelessElectrical and Electronic EngineeringbusinessInstrumentationdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-04-01 | IEEE Instrumentation & Measurement Magazine |