School of Electronic Engineering and Computer Science

Data collection and analysis on UHF white space spectrum and beyond

Supervisor: Dr Frank Gao

Research group(s): Antennas and Electromagnetics

Spectrum measurement has become increasingly important for radio environment map which enables the cognitive radio into practice. Two schemes have been proposed to determine the spectrum occupancy. One is geo-location which is based on a central database to indicate the maximum permitted power for transmission in each vacant channel at a specific location and certain period. Another scheme is spectrum sensing, which detects spectrum holes that are not occupied by primary users. In this project, we would like to have a candidate who will be able to use our exiting spectrum monitoring device and the geo-location databased qualified by the UK Ofcom to collect the spectrum data from UHF whites space to 6GHz, then use data analytics and machine learning to derive the insights for future wireless communications.