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In the context of heterogeneous networks, femtocells are very promising. In order to properly simulate their behavior and their impact on the macrocell layer, it is necessary to be able to simulate the radio coverage of femtocells. Hence ParFlow is a possible deterministic model that can be used for such simulation. In this paper two implementations of ParFlow are presented: time domain and frequency...
In this paper, a hybrid model to compute the indoor-to-outdoor path-loss for femtocells is proposed. In this approach, indoor propagation is computed with the FDTD (Finite-Difference Time-Domain) model, thus providing high accuracy inside the building where the femtocell is deployed. On the other hand, outdoor propagation is computed with an empirical approach. Performance of the model is evaluated...
In this paper, a new model used to compute the outdoor to indoor signal strength emitted by a base station is presented. This model is based on the combination of 2 existing models: IRLA (Intelligent Ray Launching), a 3D geometric-like model especially optimized for outdoor predictions, and MR-FDPF (Multi Resolution Frequency Domain ParFlow), a 2D FDTD-like model initially implemented for indoor propagation...
With the widely acceptance of WiFi networks, and the highly regarded development of new indoor technologies like distributed antenna systems and femtocells, propagation models that take accurately into account the indoor channel characteristics are necessary for the purpose of network planning. Due to the complexity of such indoor environments made of obstacles causing numerous reflexions and diffractions,...
The benefits of using Finite-Difference alike methods for coverage prediction comprise highly accurate electromagnetic simulations that serve as a reliable input for wireless networks planning and optimization algorithms. These algorithms usually require several thousands of iterations in order to find the optimal network configuration, so to obtain results within reasonable computation times, the...
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