Heuristic optimization of DVB-T/H SFN coverage using PSO and SA algorithms

Abstract

This paper studies two of the available heuristic algorithms to optimize the digital broadcasting network's planning. Particle Swarm Optimization (PSO) and Simulated Annealing (SA) are compared working in different OFDM modes. These algorithms manipulate the information of the network with static delays in order to maximize the covered area as well as possible at minimum cost. Particle Swarm Optimization (PSO) and Simulated Annealing (SA) are compared working in a different OFDM modes and synchronization strategies. Furthermore, they have been used to estimate the coverage and the interference degree of the network planning placed in the Basque Country, in northern Spain.