Cognitive Radio Technology (Communications Engineering)
Cognitive Radio Technology (Communications Engineering)
Spatio-temporal modeling of traffic workload in a campus WLAN
WICON '06 Proceedings of the 2nd annual international workshop on Wireless internet
Chicago spectrum occupancy measurements & analysis and a long-term studies proposal
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Markov chain existence and Hidden Markov models in spectrum sensing
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
A measurement-based model for dynamic spectrum access in WLAN channels
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Spectrum occupancy validation and modeling using real-time measurements
Proceedings of the 2010 ACM workshop on Cognitive radio networks
An overview of spectrum occupancy models for cognitive radio networks
NETWORKING'11 Proceedings of the IFIP TC 6th international conference on Networking
Pricing of spectrum reservation under overbooking
Electronic Commerce Research and Applications
Performance analysis of HMM-and ANN-based spectrum vacancy predictor behaviour for cognitive radios
International Journal of Ad Hoc and Ubiquitous Computing
Relaxing pre-selector filter selectivity requirements using cognitive RF front-end control
Analog Integrated Circuits and Signal Processing
Hi-index | 0.01 |
In this paper, we propose a novel spectrum occupancy model designed to generate accurate temporal and frequency behavior of various wireless transmissions. Our proposed work builds upon existing concepts in open literature in order to develop a more accurate time-varying spectrum occupancy model. This model can be employed by wireless researchers for evaluating new wireless communication and networking algorithms and techniques designed to perform dynamic spectrum access (DSA). Using statistical characteristics extracted from actual radio frequency measurements, first- and second-order parameters are employed in a statistical spectrum occupancy model based on a combination of several different probability density functions (PDFs) defining various features of a specific spectrum band with several concurrent transmissions. To assess the accuracy of the model, the output characteristics of the proposed spectrum occupancy model are compared with realtime radio frequency measurements in the television and paging bands.