Dual power allocation optimization based on stackelberg game in heterogeneous network with hybrid energy supplies

In heterogeneous network with hybrid energy supplies including green energy and on-grid energy, it is imperative to increase the utilization of green energy as well as to improve the utilities of users and networks. As the difference of hybrid energy source in stability and economy, thus, this paper focuses on the network with hybrid energy source, and design the utility of each user in the hybrid energy source system from the perspective of stability, economy and environment pollution. A dual power allocation algorithm based on Stackelberg game to maximize the utilities of users and networks is proposed. In addition, an iteration method is proposed which enables all players to reach the Stackelberg equilibrium (SE). Simulation results validate that players can reach the SE and the utilities of users and networks can be maximization, and the green energy can be efficiently used.

[1]  K. J. Ray Liu,et al.  Advances in Energy Harvesting Communications: Past, Present, and Future Challenges , 2016, IEEE Communications Surveys & Tutorials.

[2]  Khaled Ben Letaief,et al.  A Lyapunov Optimization Approach for Green Cellular Networks With Hybrid Energy Supplies , 2015, IEEE Journal on Selected Areas in Communications.

[3]  Longbo Huang,et al.  Utility Optimal Scheduling in Energy-Harvesting Networks , 2010, IEEE/ACM Transactions on Networking.

[4]  Alexis Kwasinski,et al.  Increasing sustainability and resiliency of cellular network infrastructure by harvesting renewable energy , 2015, IEEE Communications Magazine.

[5]  D. Colle,et al.  Worldwide electricity consumption of communication networks. , 2012, Optics express.

[6]  Zhu Han,et al.  Distributed Relay Selection and Power Control for Multiuser Cooperative Communication Networks Using Stackelberg Game , 2009, IEEE Transactions on Mobile Computing.

[7]  Kaibin Huang,et al.  Renewable Powered Cellular Networks: Energy Field Modeling and Network Coverage , 2014, IEEE Transactions on Wireless Communications.

[8]  Lin Wang,et al.  Power Allocation Optimization and Green Energy Cooperation Strategy for Cellular Networks with Hybrid Energy Supplies , 2016, KSII Trans. Internet Inf. Syst..

[9]  Nirwan Ansari,et al.  On Optimizing Green Energy Utilization for Cellular Networks with Hybrid Energy Supplies , 2013, IEEE Transactions on Wireless Communications.

[10]  Jing Yang,et al.  Optimal Packet Scheduling in an Energy Harvesting Communication System , 2010, IEEE Transactions on Communications.

[11]  Pekka Pirinen,et al.  A brief overview of 5G research activities , 2014, 1st International Conference on 5G for Ubiquitous Connectivity.

[12]  Xi Zhang,et al.  Heterogeneous statistical QoS provisioning over 5G mobile wireless networks , 2014, IEEE Network.

[13]  Tiankui Zhang,et al.  Adaptive user association in HetNets with renewable energy powered base stations , 2014, 2014 21st International Conference on Telecommunications (ICT).

[14]  Gerhard Fettweis,et al.  The global footprint of mobile communications: The ecological and economic perspective , 2011, IEEE Communications Magazine.

[15]  Zhisheng Niu,et al.  Optimal Power Allocation for Energy Harvesting and Power Grid Coexisting Wireless Communication Systems , 2013, IEEE Transactions on Communications.

[16]  Hu Bo Stackelberg games-based distributed algorithm of pricing and resource allocation in heterogeneous wireless networks , 2013 .

[17]  Deniz Gündüz,et al.  A Learning Theoretic Approach to Energy Harvesting Communication System Optimization , 2012, IEEE Transactions on Wireless Communications.

[18]  Marco Miozzo,et al.  When telecommunications networks meet energy grids: cellular networks with energy harvesting and trading capabilities , 2015, IEEE Communications Magazine.

[19]  Manos M. Tentzeris,et al.  Ambient RF Energy-Harvesting Technologies for Self-Sustainable Standalone Wireless Sensor Platforms , 2014, Proceedings of the IEEE.

[20]  Derrick Wing Kwan Ng,et al.  Energy-Efficient Resource Allocation in OFDMA Systems with Hybrid Energy Harvesting Base Station , 2013, IEEE Transactions on Wireless Communications.