The Journal of Supercomputing

, Volume 71, Issue 9, pp 3288–3300 | Cite as

Cooperative game-theoretic power control with a balancing factor in large-scale LTE networks: an energy efficiency perspective

Article

Abstract

Extensive deployment of LTE cellular networks can enhance network throughput via the shared spectrum utilization; however, the energy efficiency is largely ignored during the current spectral efficiency maximization, which is especially important in large-scale LTE networks. By now, we know that green communications and energy efficiency are important for the future sustainable 5G networks. Power control can improve both spectral efficiency and energy efficiency. In this paper, a distributed power control method is investigated for LTE uplink, which is based on the formulation and analysis of a defined cooperative game theoretic power control framework. A novel utility function is designed with the energy efficiency into consideration. Furthermore, the location-aware weighted bargaining game theory is formulated with a denoted balancing factor. Finally, simulation results show that the presented algorithm is with a fast convergence rate. Meanwhile, it can ensure the SINR of all users with reducing power consumption, therefore, improve energy efficiency.

Keywords

Cooperative Game Energy efficiency Long-term evolution (LTE) Power control 

Notes

Acknowledgments

This work was supported in part by the National High-Technology (863) Program of China under Grant 2014AA01A701 and the National Natural Science Foundation of China for Distinguished Young Scholar under Grant 61425012.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.Basic Department of North China Institute of Science and TechnologyBeijingChina
  3. 3.State Key Laboratory of Wireless Mobile CommunicationsChina Academy of Telecommunications Technology (CATT)BeijingChina

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