Two Classes of Improved Quickest Spectrum Sensing Approaches in Cognitive Radio
نویسندگان
چکیده
منابع مشابه
Two Classes of Improved Quickest Spectrum Sensing Approaches in Cognitive Radio
In this work, we mainly discuss two classes of quickest spectrum sensing approaches. The first is the improved single-channel detection based on cumulative sum (CUSUM) and generalized likelihood ratio, applied with primary user’s signal unknown. The other is wideband spectrum sensing based on Gobar transform and Wigner-Ville transform, implementing the transformation of the parallel sensing in ...
متن کاملAn Improved Cognitive Radio Spectrum Sensing Algorithm
To improve the cognitive radio user’s detection performance and reduce the complexity, this paper composites the Fractal box dimension algorithm and the 3th-order cyclic-cumulate (TCC) algorithm and improves the TCC algorithm, so a novel detection algorithm is proposed that the Fractal box dimension is used when the signal to noise (SNR) is high, while the improved TCC algorithm is used when th...
متن کاملSpectrum Sensing in Cognitive Radio
In modern wireless communications the spectrum is allocated to fixed licensed users and on the other side the number of wireless devices are increasing rapidly, that has lead to spectrum crunch. As the spectrum is precious it has to be utilized efficiently. The solution to mitigate this problem is Spectrum Sharing. One of the innovative approach to recognize and access the spectrum holes presen...
متن کاملSpectrum Sensing in Cognitive Radio
With the fast readying of latest wireless devices , the last decade has witnessed a growing demand for spectrum. However, the exploit spectrum assignment policy becomes a bottleneck for additional economical spectrum utilization, below that an excellent portion of the authorised spectrum is severely under-utilized. The inefficient usage of the restricted spectrum resources urges the spectrum re...
متن کاملSecure Collaborative Spectrum Sensing in the Presence of Primary User Emulation Attack in Cognitive Radio Networks
Collaborative Spectrum Sensing (CSS) is an effective approach to improve the detection performance in Cognitive Radio (CR) networks. Inherent characteristics of the CR have imposed some additional security threats to the networks. One of the common threats is Primary User Emulation Attack (PUEA). In PUEA, some malicious users try to imitate primary signal characteristics and defraud the CR user...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Wireless Personal Communications
سال: 2016
ISSN: 0929-6212,1572-834X
DOI: 10.1007/s11277-016-3494-3