Otimização dos canais licenciados para o sistema de radiocomunicação das forças de policiamento militar na região metropolitana de São Paulo

Abstract

The increasing pressure on the radiofrequency spectrum in large urban centers poses significant challenges to mission-critical communication networks, particularly those dedicated to public safety. In the São Paulo Metropolitan Region (RMSP), high population density and the substantial volume of police operations intensify the occupation of lanes used by the Military Police of the State of São Paulo (PMESP), limiting channel availability and hindering conventional network capacity expansion. In this context, this dissertation proposes and evaluates an optimization model for internal load redistribution among licensed channels, based on real spectral occupancy data extracted from the trunked radio system. The problem is formulated as a multi-objective optimization model and solved using the NSGA-II algorithm, aiming to reduce peak channel occupancy, improve load balancing, and mitigate the probability of waiting (Pw), while preserving the quality of service (GoS) requirements characteristic of mission-critical communications. The results demonstrate that the application of the proposed model provides quantitative improvements in load balancing and reduces critical occupancy conditions, evidenced by the reduction of average maximum occupancy from 87.4% to 47.3% (a 40.1 percentage point reduction), indicating that part of the observed limitations arises from operational inefficiencies rather than exclusively from structural spectrum constraints. This research contributes by proposing an internal optimization approach applicable to licensed public safety networks operating under high occupancy, without requiring spectrum expansion or technological migration.