Handover strategies simulations in IEEE 802.11 based on Artificial Intelligence

Nowadays, standard IEEE 802.11 is widely used and, with the correct approach, can be used to cover a large area. It can be used in cities within the intelligent infrastructure. In this usage, there is essential to have an effective handover and its strategies. This paper focuses on handover strategies in standard IEEE 802.11. The article briefly describes existing handover strategies and introduces a new one based on AI, which is evaluated in our simulation tool implemented in Matlab. The Simulator can be used to model a specific environment, including obstacles that are important to achieve constrain of the real environment. The contribution of this simulation tool is focusing on handover strategies and avoiding the infrastructure layer, which is the next step after finding a good handover strategy. The presented new handover strategy is based on reinforcement learning and achieves better results than the standard strategies described in this paper.