Iterative Multi-User Doppler Shift Estimation based on Distributed Cellular Network

Distributed cellular network (DCN) is regarded as one of the most promising architectures likely to be used in next generation mobile communication systems. Under this network architecture, co-channel interference among multi- users in adjacent cells could not be neglected. In this paper, based on detailed error analysis, several useful conclusions for the maximum Doppler shift estimation in multi-user environments are obtained and validated. Furthermore, in order to combat co-channel interference, a novel ACF-based algorithm with adaptive iteration (AI-ACF) is proposed for multi-user Doppler shift estimation. Simulation results indicate that, with moderate complexity, the proposed algorithm could reduce multi-user co-channel interference effectively and improve Doppler shift estimation performance significantly.