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Enhanced Telecom Operation Management Scenarios for IMS Networks
Enhanced Telecom Operation Management Scenarios for IMS Networks
ISSN : 0975-7023Journal from gdlhub / 2017-08-14 11:52:33
Oleh : Errais Mohammed , Raouyane Brahim , Mostafa Bellafkih and Ramdani Mohammed, International Journal of Next-Generation Networks
Dibuat : 2012-06-25, dengan 1 file
Keyword : Cognitive Radio, Dynamic Spectrum Access, Spectrum Sensing, Signal Processing Techniques
Subjek : Enhanced Telecom Operation Management Scenarios for IMS Networks
Url : http://airccse.org/journal/ijngn/papers/3211ijngn03.pdf
Sumber pengambilan dokumen : Internet
The growing demand of wireless applications has put a lot of constraints on the usage of available radio
spectrum which is limited and precious resource. However, a fixed spectrum assignment has lead to under
utilisation of spectrum as a great portion of licensed spectrum is not effectively utilised. Cognitive radio is
a promising technology which provides a novel way to improve utilisation efficiency of available
electromagnetic spectrum. Spectrum sensing helps to detect the spectrum holes (underutilised bands of the
spectrum) providing high spectral resolution capability. In this paper, survey of spectrum sensing
techniques is presented. The challenges and issues involved in implementation of spectrum sensing
techniques are discussed in detail giving comparative study of various methodologies.
The growing demand of wireless applications has put a lot of constraints on the usage of available radio
spectrum which is limited and precious resource. However, a fixed spectrum assignment has lead to under
utilisation of spectrum as a great portion of licensed spectrum is not effectively utilised. Cognitive radio is
a promising technology which provides a novel way to improve utilisation efficiency of available
electromagnetic spectrum. Spectrum sensing helps to detect the spectrum holes (underutilised bands of the
spectrum) providing high spectral resolution capability. In this paper, survey of spectrum sensing
techniques is presented. The challenges and issues involved in implementation of spectrum sensing
techniques are discussed in detail giving comparative study of various methodologies.
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