Software-defined radio: basics and evolution to cognitive radio
EURASIP Journal on Wireless Communications and Networking
EURASIP Journal on Applied Signal Processing
Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency
IEEE Communications Magazine
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Spectrum Challenges and Solutions by Cognitive Radio: An Overview
Wireless Personal Communications: An International Journal
A multitaper spectrum based detector for cognitive radio
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Blind CP-OFDM and ZP-OFDM parameter estimation in frequency selective channels
EURASIP Journal on Wireless Communications and Networking
Optimization of sensing receiver for cognitive radio applications
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
Blind detection of wideband interference for cognitive radio applications
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
On performance comparison of wideband multiple primary user detection methods in cognitive radios
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Emerging cognitive radio technology: Principles, challenges and opportunities
Computers and Electrical Engineering
Uplink user signal separation for OFDMA-based cognitive radios
EURASIP Journal on Advances in Signal Processing - Special issue on advanced signal processing for cognitive radio networks
Spectrum sensing and power/rate control in CDMA cognitive radio networks
International Journal of Communication Systems
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Spectrum sensing is one of the most challenging problems in cognitive radio systems. The spectrum of interest needs to be characterized and unused frequencies should be identified for possible exploitation. This process, however, should be computationally simple and fast in order to catch up with the changing transmission parameters. This paper proposes a sensing method for identifying the unused spectrum for opportunistic transmission by estimating the RF transmission parameters of primary users. The primary users are identified by matching the a priory information about their transmission characteristics to the features extracted from the received signal. The application of the proposed sensing method to WiMAX mobile stations for finding the active channels during initial network entry is also discussed as a case study.