Physical Communication

wireless channel models and statistics, spectral and energy efficiency analysis, and Millimeter wave communication systems. Currently, our research is mainly focused on reducing the energy that is consumed by telecommunication networks to decrease greenhouse gases, which partially helps protect our globe.

Each zip file corresponds to the figure presented in the manuscript. Within each zip file, there are *.mat data together with *.m file. Each plot is generated by running *.m file using MATLAB program.

The data provided here contains MATLAB files of different frequency domain samples simulated to describe different sensing conditions in Cognitive Radio (CR). The sensing conditions considered in these datasets refer to Frequency Modulated Signals, OFDM signals, Narrow and Wideband Signals, and Real-life TV signals. These datasets are intended to be used to analyze the performance of adaptive threshold estimation algorithms typically deployed for use in the Energy Detector front end of a CR system. Researchers can thus use these datasets as a common platform for evaluating their algorithms.

The File comprise of Appendix A, B and C. Appendix A details how a First-Order Baum-Welch Algorithm is used to estimate a First-Order Semi-Hidden Fritchman Markov Model. Appendix B details how a Second-Order Baum-Welch Algorithm is used to estimate a Second-Order Semi-Hidden Fritchman Markov Model. Appendix C shows initialized First-Order state transition probability values for an adopted three-state Semi-Hidden Fritchman Markov Model