Efficient power control for D2D with SWIPT

To mitigate the interference between Device-to-Device (D2D) and cellular communications, power control plays a crucial role. Simultaneous wireless information and power transfer (SWIPT) is an emerging technology that allows receivers to harvest energy from the received signal, of which information is decoded at the same time. In this paper, we investigate the D2D power control in the presence of SWIPT and model it under a non-cooperative game-theoretic framework. A fully distributed power control mechanism is then proposed. We theoretically and experimentally investigate the proposed mechanisms. The simulation results show that the power control mechanism proposed in this work is valid and effective.

[1]  Jun Huang,et al.  Simultaneous Wireless Information and Power Transfer: Technologies, Applications, and Research Challenges , 2017, IEEE Communications Magazine.

[2]  David B. Smith,et al.  A Nash stable cross-layer coalition formation game for device-to-device communications , 2017, 2017 IEEE International Conference on Communications (ICC).

[3]  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.

[4]  I. Glicksberg.  A FURTHER GENERALIZATION OF THE KAKUTANI FIXED POINT THEOREM, WITH APPLICATION TO NASH EQUILIBRIUM POINTS , 1952 .

[5]  Xiukui Li.  Position-based wireless communications: Power control and mode handover , 2017, 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP).

[6]  K. Fan.  Fixed-point and Minimax Theorems in Locally Convex Topological Linear Spaces. , 1952, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Xiang Li,et al.  Distributed Power Control for D2D Communications Underlaying Cellular Network Using Stackelberg Game , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[8]  Tansu Alpcan,et al.  CDMA Uplink Power Control as a Noncooperative Game , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

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

[10]  Ying Yin,et al.  A Game-Theoretic Resource Allocation Approach for Intercell Device-to-Device Communications in Cellular Networks , 2016, IEEE Transactions on Emerging Topics in Computing.

[11]  Shahid Mumtaz,et al.  Energy-Efficient Stable Matching for Resource Allocation in Energy Harvesting-Based Device-to-Device Communications , 2017, IEEE Access.

[12]  Lav R. Varshney,et al.  Transporting information and energy simultaneously , 2008, 2008 IEEE International Symposium on Information Theory.

[13]  Jun Huang,et al.  Resource Allocation for Multicell Device-to-Device Communications Underlaying 5G Networks: A Game-Theoretic Mechanism With Incomplete Information , 2018, IEEE Transactions on Vehicular Technology.

[14]  Qianbin Chen,et al.  GALLERY: A Game-Theoretic Resource Allocation Scheme for Multicell Device-to-Device Communications Underlaying Cellular Networks , 2015, IEEE Internet of Things Journal.