Cyclostationarity-inducing transmission methods for recognition among OFDM-based systems
EURASIP Journal on Wireless Communications and Networking - Cognitive Radio and Dynamic Spectrum Sharing Systems
An algorithm for detection of DVB-T signals based on their second-order statistics
EURASIP Journal on Wireless Communications and Networking - Cognitive Radio and Dynamic Spectrum Sharing Systems
CRAHNs: Cognitive radio ad hoc networks
Ad Hoc Networks
Rate-optimal and reduced-complexity sequential sensing algorithms for cognitive OFDM radios
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
Blind CP-OFDM and ZP-OFDM parameter estimation in frequency selective channels
EURASIP Journal on Wireless Communications and Networking
Spectrum sensing in cognitive radio using goodness of fit testing
IEEE Transactions on Wireless Communications
IEEE Transactions on Communications
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
Spectrum sensing in wideband OFDM cognitive radios
IEEE Transactions on Signal Processing
Spectral correlation of multicarrier modulated signals and its application for signal detection
EURASIP Journal on Advances in Signal Processing - Special issue on advanced signal processing for cognitive radio networks
2nd order cyclostationarity of OFDM signals: impact of pilot tones and cyclic prefix
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Wireless Personal Communications: An International Journal
Sequential and cooperative sensing for multi-channel cognitive radios
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
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The spectrum pooling strategy allows a license owner to share a part of his licensed spectrum with a secondary wireless system (the rental system, RS) during its idle times. The coexistence of two mobile systems on the same frequency band poses many new challenges, one of which is the reliable extraction of the channel allocation information (CAI), i.e. the channel occupation of the licensed system (LS). This paper presents a strategy for the extraction of the CAI based on exploiting the distinct cyclostationary characteristics of the LS and RS signals and demonstrates, via simulations, its application on a specific spectrum pooling scenario, where the LS is a GSM network and the RS is an OFDM based WLAN system