Power Control via Stackelberg Game for Small-Cell Networks

In this paper, power control for two-tier small-cell networks in the uplink is investigated. We formulate the power control problem as a Stackelberg game, where the macrocell user equipment (MUE) acts as the leader and the small-cell user equipments (SUEs) as the followers. To reduce the cross-tier and co-tier interference and also the power consumption of both the MUE and SUEs, we propose to impose a set of costs on their transmit powers and optimize not only the transmit rate but also the transmit power. The corresponding optimization problems are solved by two-layer iterations. In the inner iteration, the SUEs compete with each other and their optimal transmit powers are obtained through iterative computations. In the outer iteration, the MUE's optimal transmit power is obtained in a closed form based on the transmit powers of the SUEs through proper mathematical manipulations. We prove the convergence of the proposed power control scheme, and also theoretically show the existence and uniqueness of the Stackelberg equilibrium (SE) in the formulated Stackelberg game. Simulation results show great improvement of the proposed power control scheme especially for the MUE.

[1]  Long Bao Le,et al.  Distributed Base Station Association and Power Control for Heterogeneous Cellular Networks , 2014, IEEE Transactions on Vehicular Technology.

[2]  Zhu Han,et al.  Distributed Interference-Aware Power Control in Ultra-Dense Small Cell Networks: A Robust Mean Field Game , 2018, IEEE Access.

[3]  Sergio Barbarossa,et al.  Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems Based on Game Theory—Part II: Algorithms , 2007, IEEE Transactions on Signal Processing.

[4]  Sergio Barbarossa,et al.  Simultaneous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels , 2006, 2006 IEEE International Symposium on Information Theory.

[5]  Mehul Motani,et al.  Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach , 2012, IEEE Journal on Selected Areas in Communications.

[6]  Ying-Chang Liang,et al.  Optimal Power Allocation for Fading Channels in Cognitive Radio Networks under Transmit and Interference Power Constraints , 2008, 2008 IEEE International Conference on Communications.

[7]  Yueming Cai,et al.  Optimal Power Allocation and User Scheduling in Multicell Networks: Base Station Cooperation Using a Game-Theoretic Approach , 2014, IEEE Transactions on Wireless Communications.

[8]  David B. Smith,et al.  Flexible Resource Allocation in Device-to-Device Communications Using Stackelberg Game Theory , 2019, IEEE Transactions on Communications.

[9]  K. J. Ray Liu,et al.  Game theory for cognitive radio networks: An overview , 2010, Comput. Networks.

[10]  G. Scutari,et al.  Flexible design of cognitive radio wireless systems , 2009, IEEE Signal Processing Magazine.

[11]  Mehdi Bennis,et al.  Spectrum sharing games on the interference channel , 2009, 2009 International Conference on Game Theory for Networks.

[12]  Peng Li,et al.  Price-based power control of femtocell networks: A Stackelberg game approach , 2012, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).

[13]  T. Basar,et al.  A game-theoretic framework for congestion control in general topology networks , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[14]  M Kobayashi,et al.  Green Small-Cell Networks , 2011, IEEE Vehicular Technology Magazine.

[15]  Zhou Su,et al.  Edge Caching for Layered Video Contents in Mobile Social Networks , 2017, IEEE Transactions on Multimedia.

[16]  K. Dimyati,et al.  A new power control game in two-tier femtocell networks , 2015, 2015 1st International Conference on Telematics and Future Generation Networks (TAFGEN).

[17]  Alagan Anpalagan,et al.  A Hierarchical Game Approach to Inter-Operator Spectrum Sharing , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[18]  Xiaohu You,et al.  Energy efficient power control for the two-tier networks with small cells and massive MIMO , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[19]  S. Barbarossa,et al.  Asynchronous Iterative Waterfilling for Gaussian Frequency-Selective Interference Channels: A Unified Framework , 2007, 2007 Information Theory and Applications Workshop.

[20]  Yueming Cai,et al.  Optimal Power Control in Ultra-Dense Small Cell Networks: A Game-Theoretic Approach , 2017, IEEE Transactions on Wireless Communications.

[21]  Liang Xiao,et al.  Power control Stackelberg game in cooperative anti-jamming communications , 2014, The 2014 5th International Conference on Game Theory for Networks.

[22]  Xiaohu You,et al.  Energy Efficient Non-Cooperative Power Control in Small Cell Networks , 2017, arXiv.org.

[23]  Xiaohu You,et al.  Energy-Efficient Joint Resource Allocation and Power Control for D2D Communications , 2016, IEEE Transactions on Vehicular Technology.

[24]  Kenneth W. Shum,et al.  Convergence of Iterative Waterfilling Algorithm for Gaussian Interference Channels , 2007, IEEE Journal on Selected Areas in Communications.

[25]  Robert Gibbons,et al.  A primer in game theory , 1992 .

[26]  J. Goodman Note on Existence and Uniqueness of Equilibrium Points for Concave N-Person Games , 1965 .

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

[28]  Xiaohu You,et al.  Energy-Efficient Noncooperative Power Control in Small-Cell Networks , 2017, IEEE Transactions on Vehicular Technology.