In this paper, a new stochastic wideband dynamic spatio-temporal indoor channel model which incorporates both the dynamic evolution of paths as the mobile moves as swell as the spatio-temporal variation of paths within their lifespan is proposed by adapting the concept of Markov process. Analysis of propagation data shows that multiple births and deaths are possible at any instant of time. Furthermore, correlation exists between the number of births and deaths. Thus, an M-step, 4-state Markov channel model is propose din order to account for these two observed effects. The paths' spatio-temporal variations are also taken into consideration by the spatio-temporal vector which was found to be well-modelled by a Gaussian probability density function. In addition, the methodology used to extract the channel parameters from the measurement data is also discussed.
|Title of host publication||The 57th IEEE Semiannual Vehicular Technology Conference, 2003 (VTC 2003-Spring)|
|Publication status||Published - 2003|
- Gaussian processes, Markov processes, broadband networks, channel estimation, indoor radio, mobile radio, multipath channels, time-varying channels Gaussian probability density function, Markov process, dynamic evolution of paths, indoor radio communica