Game theoretical approach of downlink resource allocation in 5G wireless fusion networks

The wireless networks are requiring higher transmission speed and more reliable QoS, especially the 5G systems. Different network providers will run different quality of transmission services and the user could choose the suitable set. In this work, considering the varieties of transmission types and price, we propose a novel game theoretical solution of downlink resource allocation, the fusion of different types of transmission could significantly reduce the transmission price under the constraint of system Quality of Service (QoS). Simulation results prove the fact that by using our proposed game theoretical method, the price of the downlink transmission could be reduced up to 37% under the constraint of QoS, the expense is the time consumption and the signal processing delay.