Multi-Ricean modeling of site-specific indoor channel in wireless communications

The paper focuses on systems employing multiple antennas. For modeling the statistics of these systems, we adopt the multi-Ricean fading approach. Specifically, we consider various binary modulated signals over our multi-Ricean fading channel. In doing so, the average bit error rate (BER) is also computed. As theoretical studies have demonstrated, BER improves with the deployment of additional antennas and we therefore examine the dependency of network capacity on the number of antennas used as a function of transmitting positions. Based on a rigorous and validated full-wave method, we extract statistical parameters (i.e., K-factor) for an indoor site-specific environment with multiple antennas. These statistics are subsequently used to compute the BER. We also provide useful information pertaining to site-planning via BER over the considered multi-Ricean fading channel. Specifically, we observe a significant improvement in capacity, not only by using multiple antennas, but also by choosing optimal locations for these antennas.