A binary linear programming to the planning of wireless systems

Locating access points for Wi-Fi networks in a post-pandemic scenario proposes an application in the planning and restructuring of existing wireless systems. Education strategies such as the flipped classroom, among others, demand the overall performance of the system. In this work, we propose a methodology using binary linear programming as a strategy to achieve the planning of a Wi-Fi system that can have the objectives of coverage, user capacity and channel interference. The results show a better coverage, higher speed per user and optimized the amount of equipment per sector in the laboratories of the University of Magdalena.