A Finite State Markov Chain-Based Umbrella Cell Channel Model for Fast Mobile Users

This paper describes a new Markov propagation channel model for an umbrella cell environment for fast mobile users. The multistate model switches between propagation states representing open area, shadowing, and blockage. A linear combination of log-normal, Rayleigh, and Rice models is used to describe signal variations over an area with constant environment attributes while an M-state Markov chain is applied to represent environment parameter variations when the fast mobile moves from one microcell to another one in an umbrella cell. Channel parameters are evaluated for the experimental data and used in the simulation model. Results are presented in terms of signal waveform and bit-error-rate. The effect of DS-CDMA is also discussed. Simulation shows that our new channel model can be much more realistic than the classical models