Resource Allocation in Software Defined Fog Vehicular Networks

Vehicular network is an important application scenario of the fifth generation (5G) mobile communications. Due to the increasing number of vehicles and the users' various requirements, resource allocation problem in vehicular networks becomes more serious and has attracted researchers' attention. In this paper, we investigate the resource allocation in software defined fog vehicular networks where we formulate the problem as a mean-field game (MFG). We present a state space function by considering both interference factors and energy availability. Then the problem can be modeled as a cost minimization with the constraint of state space. Through the mean-field approximation method, we derive the corresponding Hamilton-Jacobi-Bellman (HJB) and Fokker-Planck-Kolmogorov (FPK) equations. A joint finite difference algorithm is proposed to solve the coupled HJB and FPK equations. The numerical results are presented to show the effectiveness of the proposed algorithm.

[1]  Victor C. M. Leung,et al.  Delay-Optimal Virtualized Radio Resource Scheduling in Software-Defined Vehicular Networks via Stochastic Learning , 2016, IEEE Transactions on Vehicular Technology.

[2]  Hongli He,et al.  Channel Allocation for Adaptive Video Streaming in Vehicular Networks , 2017, IEEE Transactions on Vehicular Technology.

[3]  F. Richard Yu,et al.  A Joint Cross-Layer and Colayer Interference Management Scheme in Hyperdense Heterogeneous Networks Using Mean-Field Game Theory , 2016, IEEE Transactions on Vehicular Technology.

[4]  Meixia Tao,et al.  Resource Allocation in Spectrum-Sharing OFDMA Femtocells With Heterogeneous Services , 2014, IEEE Transactions on Communications.

[5]  Eylem Ekici,et al.  Resource Allocation Algorithms Supporting Coexistence of Cognitive Vehicular and IEEE 802.22 Networks , 2017, IEEE Transactions on Wireless Communications.

[6]  Setareh Maghsudi,et al.  Distributed User Association in Energy Harvesting Dense Small Cell Networks: A Mean-Field Multi-Armed Bandit Approach , 2016, IEEE Access.

[7]  Lian Zhao,et al.  An SMDP-Based Prioritized Channel Allocation Scheme in Cognitive Enabled Vehicular Ad Hoc Networks , 2017, IEEE Transactions on Vehicular Technology.

[8]  Deepa Das,et al.  Adaptive resource allocation scheme for cognitive radio vehicular ad-hoc network in the presence of primary user emulation attack , 2017, IET Networks.

[9]  Zhu Han,et al.  Distributed Interference and Energy-Aware Power Control for Ultra-Dense D2D Networks: A Mean Field Game , 2017, IEEE Transactions on Wireless Communications.

[10]  Ekram Hossain,et al.  Downlink Power Control in Two-Tier Cellular Networks With Energy-Harvesting Small Cells as Stochastic Games , 2015, IEEE Transactions on Communications.

[11]  Mugen Peng,et al.  Recent Advances in Fog Radio Access Networks: Performance Analysis and Radio Resource Allocation , 2016, IEEE Access.

[12]  Ekram Hossain,et al.  Downlink Power Control in Self-Organizing Dense Small Cells Underlaying Macrocells: A Mean Field Game , 2016, IEEE Transactions on Mobile Computing.