A Novel Approach of Cognitive Base Station with Dynamic Spectrum Management for High-Speed Rail

The characteristic of fast movement in high-speed rail seriously affects the stability of vehicular wireless communication. Applying cognitive technology to individual users often brings frequent channel switch and inefficient blind learning. To address these issues this paper proposes a novel concept of Cognitive Base Station (CBS), which has the capability of forecasting spectrum holes and assigning spectrum to individuals. We then give the model of cognitive base station and evaluate the performance in our simulation platform within high-speed rail environment. The experiment results further prove that the model can significantly improve the performance of vehicular communication.