Stochastic game-theoretical power allocation in D2D communications

In D2D communication, power allocation is important due to interference among D2D users. In this paper, we model the power allocation problem in D2D environment as a stochastic game and find the Nash equilibrium. The simulation shows the workability and correctness of the proposed stochastic power allocation game.

[1]  Gerald Matz,et al.  MMSE and adaptive prediction of time-varying channels for OFDM systems , 2005, IEEE Transactions on Wireless Communications.

[2]  Robert W. Irving.  An Efficient Algorithm for the "Stable Roommates" Problem , 1985, J. Algorithms.

[3]  Long Bao Le.  Fair resource allocation for device-to-device communications in wireless cellular networks , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[4]  Jun Huang,et al.  Resource allocation for intercell device-to-device communication underlaying cellular network: A game-theoretic approach , 2014, 2014 23rd International Conference on Computer Communication and Networks (ICCCN).

[5]  Eitan Altman,et al.  Stochastic games with one step delay sharing information pattern with application to power control , 2009, 2009 International Conference on Game Theory for Networks.

[6]  Vijay K. Bhargava,et al.  Mode selection for energy-efficient D2D communications in LTE-advanced networks: A coalitional game approach , 2012, 2012 IEEE International Conference on Communication Systems (ICCS).

[7]  Mihaela van der Schaar,et al.  Learning to Compete for Resources in Wireless Stochastic Games , 2009, IEEE Transactions on Vehicular Technology.

[8]  Alvin E. Roth,et al.  Two-Sided Matching: A Study in Game-Theoretic Modeling and Analysis , 1990 .

[9]  Anand Srinivasan,et al.  Efficient resource allocation for device-to-device communication underlaying LTE network , 2010, 2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications.

[10]  Wenbo Wang,et al.  A resource allocation scheme for D2D multicast with QoS protection in OFDMA-based systems , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[11]  Bin Wang,et al.  Resource Allocation Optimization for Device-to-Device Communication Underlaying Cellular Networks , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[12]  Drew Fudenberg,et al.  Game theory (3. pr.) , 1991 .

[13]  Geoffrey Ye Li,et al.  Joint Mode Selection and Resource Allocation for Device-to-Device Communications , 2014, IEEE Transactions on Communications.

[14]  Chih-Yu Wang,et al.  Resource allocation in D2D communication - A game theoretic approach , 2014, 2014 IEEE International Conference on Communications Workshops (ICC).

[15]  Kun Zhu,et al.  Joint Mode Selection and Spectrum Partitioning for Device-to-Device Communication: A Dynamic Stackelberg Game , 2015, IEEE Transactions on Wireless Communications.

[16]  Yuan Li,et al.  Distributed power control for device-to-device network using stackelberg game , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).

[17]  Hao Zhou,et al.  Joint mode selection, MCS assignment, resource allocation and power control for D2D communication underlaying cellular networks , 2014, 2014 IEEE Wireless Communications and Networking Conference (WCNC).

[18]  Min-Kuan Chang,et al.  Modeling of Single-Step Power Control Scheme in Finite-State Markov Channel and Its Impact on Queuing Performance , 2009, IEEE Transactions on Vehicular Technology.

[19]  Saleem A. Kassam,et al.  Finite-state Markov model for Rayleigh fading channels , 1999, IEEE Trans. Commun..

[20]  Lingyang Song,et al.  Subcarrier and power optimization for device-to-device underlay communication using auction games , 2014, 2014 IEEE International Conference on Communications (ICC).

[21]  Zhu Han,et al.  Coalitional Games for Resource Allocation in the Device-to-Device Uplink Underlaying Cellular Networks , 2014, IEEE Transactions on Wireless Communications.

[22]  Sooyong Choi,et al.  Joint Mode Selection and Power Allocation Scheme for Power-Efficient Device-to-Device (D2D) Communication , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

[23]  Xi Zhang,et al.  Optimal power allocation for full-duplex D2D communications over wireless cellular networks , 2014, 2014 IEEE Global Communications Conference.

[24]  Wenbo Wang,et al.  Optimal density and power allocation of D2D communication under heterogeneous networks on multi-bands with outage constraints , 2013, 2013 International Conference on Computing, Networking and Communications (ICNC).

[25]  Kai-Ten Feng,et al.  Dynamic Power Management in Cognitive Radio Networks Based on Constrained Stochastic Games , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[26]  Tao Chen,et al.  Effective Interference Cancellation Scheme for Device-to-Device Communication Underlaying Cellular Networks , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[27]  Visa Koivunen,et al.  Interference-Aware Resource Allocation for Device-to-Device Radio Underlaying Cellular Networks , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[28]  Qing Wang,et al.  A Survey on Device-to-Device Communication in Cellular Networks , 2013, IEEE Communications Surveys & Tutorials.

[29]  Nei Kato,et al.  Device-to-Device Communication in LTE-Advanced Networks: A Survey , 2015, IEEE Communications Surveys & Tutorials.

[30]  Rajarathnam Chandramouli,et al.  Stochastic learning solution for distributed discrete power control game in wireless data networks , 2008, IEEE/ACM Trans. Netw..

[31]  C.-H. Yu,et al.  Power Optimization of Device-to-Device Communication Underlaying Cellular Communication , 2009, 2009 IEEE International Conference on Communications.