Utility-Maximized Two-Level Game-Theoretic Approach for Bandwidth Allocation in Heterogeneous Radio Access Networks

作者：Zhang, Qixun^*; Fu, Bin; Feng, Zhiyong; Li, Wei

来源：IEEE Transactions on Vehicular Technology, 2017, 66(1): 844-854.

DOI：10.1109/TVT.2016.2547642

• Heterogeneous networks
• Nash equilibrium (NE)
• Stackelberg game

To solve the optimal bandwidth allocation problem in heterogeneous radio access networks (H-RANs), a two-level game-theoretic approach is proposed to maximize the utility of network providers and users by considering the network resource distributions and service demands. In the area-level game, the Nash equilibrium is achieved by using a noncooperative game for the bandwidth allocation in different areas to maximize network utility. Moreover, in each service area, the traffic-level bandwidth allocation and pricing approach is applied to allocate the appropriate portion of bandwidth for different networks and users using the Stackelberg game, with the network as the leader and the user as the follower. Furthermore, the Stackelberg equilibrium is achieved by an iterative algorithm in this paper. Simulation results prove that the proposed game-theoretic approaches can efficiently and significantly maximize the utility of networks and users.

• 出版日期2017-1
• 单位北京邮电大学