Efficient placement of wireless base-stations in Urban environment

This work proposes a novel approach for placing wireless base-stations in urban environments. The new approach solves the placement problem using 2-D convolution. Convolution searches for the best locations of base stations based on highest consumption criteria. Convolution theorem is then used to substantially cut the computation load of the proposed approach. The approach allows simple user-interface and arbitrary demand and supply patterns of power. Simulations show that the new approach can be used to efficiently model and place wireless base-stations.