Deep Learning-Based Radio Coverage Using Ray Tracing Simulations in Urban Environments
Accurate wireless channel prediction in urban environments is essential for network planning and optimization, but traditional ray tracing (RT) simulations are computationally expensive. This paper presents a deep learning approach that learns from sparse RT simulations to predict received power for unseen transmitter...