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.

认知无线电是克服频谱资源短缺的重要技术，5G系统中多业务多载波切片的资源分配问题一直是个挑战。在本文中，设计了一个多领导多跟随者 Stackelberg 博弈来分析运营商和用户在授权和非授权频段上的交互。此外，我们验证了用户动态吞吐量分配比率对博弈中纳什均衡（NE）的影响。游戏分为两个独立的子游戏：授权乐队和非授权乐队游戏。在前面的子博弈中设计了一个简化的 Vickrey-Clarke-Groves 算法，以保证用户传输的公平性。后者通过设置干扰价格来保护主用户在免授权频段的传输性能。通过预测其他参与者的行为，以非合作方式设定最优价格或频谱和功率需求。我们在 Stackelberg 博弈中证明了 NE 方案的存在，并为运营商和用户设计了动态分布式算法来实现 NE。仿真结果表明了我们提出的基于 Stackelberg 博弈的资源管理方案的有效性。与其他 Stackelberg 模型相比，我们的方案为用户提供了高质量的服务，并为运营商提供了定价策略的指导。仿真结果表明了我们提出的基于 Stackelberg 博弈的资源管理方案的有效性。与其他 Stackelberg 模型相比，我们的方案为用户提供了高质量的服务，并为运营商提供了定价策略的指导。仿真结果表明了我们提出的基于 Stackelberg 博弈的资源管理方案的有效性。与其他 Stackelberg 模型相比，我们的方案为用户提供了高质量的服务，并为运营商提供了定价策略的指导。