Users' QoS driven radio resources optimization based on radio environment map

The over the top service optimization in wireless networks is a challenging task due to the diversity of wireless terminals, variety of required quality of service requirements and diversity of wireless service access networks. In this paper, we propose an approach to optimize the allocation of users to wireless networks or even particular cells based on the wireless network exposed radio environment status. The radio cells collect the radio environment status based on terminal measurements and pre-calculated interference maps. It exposes the required information to the over the top service provider. The users are allocated applying the network/cell priority list or using a genetic optimization algorithm. The simulation results reveal that the pico-to-macro cell priority list deterministic approach outperforms macro-to-pico priority list approach, while the genetic based optimization approach slightly outperforms both deterministic approaches.