A research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies

Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 1998

The estimation of BER for cellular mobile systems becomes increasingly important for the designers to determine acceptable modulation methods, coding techniques, and receiver implementations in the operating environments. Computer simulation is a viable tool in performance evaluation of cellular mobile communication systems. The effect of the Doppler shift due to the movement of mobile stations is an important fact in simulation of mobile radio channels. In modeling of fading channel, Doppler shift due to the motion of mobile station is usually introduced by Doppler filter. The simulation results are reliable but in simulation of mobile radio channels, faster reliable simulation techniques are much desirable. Another model, the first order Markov model can provide a mathematically tractable model for time varying channels. In this research study, we compare the performances of Doppler filter and Markov model in simulation of Doppler shift for the BER estimation of IS-54 TDMA cellular mobile system. The simulation results show that Markov model with symbol period delay does not give reliable results in BER estimation of the cellular mobile system. But Markov model with delay approximately (1/lOfm) gives approximately the same results with Doppler-filter model in BER estimation oflS-54 system.