Research on multi-service slice resource allocation over licensed and unlicensed bands

Cognitive radio is known to be an important technology to overcome the shortage of spectrum resources, and the resource allocation problem of multi-service multi-carrier slice in 5G system has remained a challenge. In this paper, a multi-leader multi-follower Stackelberg game is designed to analyze the interaction between operators and users over licensed and unlicensed bands. Further, we verify the impact of users' dynamic throughput allocation ratio on Nash equilibrium (NE) in the game. The game is divided into two independent subgames: licensed band and unlicensed band games. A simplified Vickrey-Clarke-Groves algorithm is designed in the former sub-game to ensure the fairness of user transmission. In the latter, an interference price is set to protect the transmission performance of primary users in unlicensed band. By predicting the actions of other players, optimal prices or spectrum and power demands are set in a non-cooperative way. We prove the existence of NE solution in the Stackelberg game and design dynamic distributed algorithms for operators and users to achieve NE. Simulation results show the effectiveness of our proposed resource management schemes based on Stackelberg game. Compared to other Stackelberg models, our scheme provides users with high-quality services and provides a guidance on pricing strategies for operators.