2D-Hierarchical Radiosity Model for Indoor Propagation Prediction

The need for efficient design of wireless LANs coverage and quality becomes an important issue due to their increasing deployments. Planning problems of WLAN require computation of a coverage map that satisfies signal level constraints and it is based on an accurate propagation model. Many indoor propagation models have been proposed in literature and can be classified into empirical and deterministic propagation ones. Radiosity has been introduced a couple of years ago as a new model for indoor propagation prediction. This method requires a huge computer memory and CPU processing. In this paper, we present two-dimension radiosity which helps save time and memory space. An implementation of this method is done to evaluate its performance, and then compared to results derived from real measurement processing.