In this paper, a new stochastic time-evolutionary directional indoor channel model is proposed based on real-time measurement data. The model incorporates the dynamic evolution of paths when the mobile moves by adapting the concept of Markov processes. In order to take into account the multiple births and deaths as well as the correlation between the number of births and deaths observable within the measurement data, an M-step, 4-state Markov channel model is proposed. The lifespans of paths and the spatio-temporal variations of paths within their lifespans are also taken into consideration, found to be well-modelled by an exponential and a Gaussian probability density function, respectively. Finally, the validity of the proposed model is evaluated by comparing the statistical properties of the measurement results with the simulation results.
|Title of host publication||Twelfth International Conference on Antennas and Propagation, 2003. (ICAP 2003). (Conf. Publ. No. 491)|
|Publication status||Published - 1 Mar 2003|
- Gaussian distribution, Markov processes, channel estimation, exponential distribution, indoor radio, microwave propagation, mobile radio, multipath channels, time-varying channels 120 MHz, 5.2 GHz, Gaussian probability density function, M-step 4-state Markov channel model, Markov processes, directional indoor channel model, exponential probability density function, lifespans, mobile radio, multiple births, multiple deaths, radiowave propagation, real-time measurement data, simulation results, spatio-temporal variations, statistical properties, stochastic model, time-evolutionary model