An Energy Efficient Power Control Scheme Based on Game Theory for OFDMA Femtocell Networks

2013 ◽  
Vol 475-476 ◽  
pp. 875-881
Author(s):  
Long Wang ◽  
Xue Qiang Zheng ◽  
Fei Song ◽  
Juan Chen
Keyword(s):  
Energy Efficiency ◽  
Power Control ◽  
Energy Efficient ◽  
Femtocell Networks ◽  
Energy Efficiency Improvement ◽  
Downlink Power Control ◽  
Control Scheme ◽  
Power Control Algorithm ◽  
Good Energy ◽  
Efficient Power

Femtocell is one of the promising solutions that can improve the energy efficiency of cellular network. However, densely and randomly deployed femtocells may experience server inter-femtocell interference due to rough-and-tumble spectrum reuse with unconstrained power. In this paper, the downlink power control problem is investigated to achieve an energy efficient power allocation scheme. The problem is formulated as a non-cooperative game and distributed power control algorithm is proposed. Numerical results suggest that a good energy efficiency improvement is acquired and the algorithm converge within a few iteration times.

scholarly journals Energy-efficient power control for two-tier femtocell networks with block-fading channels

2017 ◽  
Vol 13 (5) ◽  
pp. 155014771770792
Author(s):  
Zhixin Liu ◽  
Jieshuai Wu ◽  
Yang Liu ◽  
Hongjiu Yang ◽  
Jianfeng Guan ◽  
...  
Keyword(s):  
Power Control ◽  
Fading Channels ◽  
Energy Efficient ◽  
Femtocell Networks ◽  
Block Fading Channels ◽  
Efficient Power

A Q-Learning-Based Downlink Power Control Algorithm for Energy Efficiency in LTE Femtocells

2014 ◽  
Vol 556-562 ◽  
pp. 1766-1769 ◽  
Author(s):  
Lian Fen Huang ◽  
Bin Wen ◽  
Zhi Bin Gao ◽  
Hong Xiang Cai ◽  
Yu Jie Li
Keyword(s):  
Energy Efficiency ◽  
Power Control ◽  
Control Algorithm ◽  
Interference Management ◽  
Smart Power ◽  
Q Learning ◽  
Downlink Power Control ◽  
Indoor Coverage ◽  
Power Control Algorithm ◽  
Management Issues

Femtocell is introduced to improve indoor coverage, which is beneficial for both users and operators. But it will also inevitably produce interference management issues in the heterogeneous network which consists of femtocells and macrocells. In this paper, a decentralized Q-learning-based power control strategy is proposed, comparing with homogenous power allocation and smart power control (SPC) algorithm. Simulation results have shown that Q-learning-based power control algorithm can implement the compromise of capacity between macrocells and femtocells, and greatly enhance energy efficiency of the whole network.

scholarly journals Distributed Transmit Power Control for Energy-Efficient Wireless-Powered Secure Communications

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5861
Author(s):  
Kisong Lee 
Keyword(s):  
Energy Efficiency ◽  
Power Control ◽  
Energy Efficient ◽  
Control Algorithm ◽  
Computation Time ◽  
The Other ◽  
Secure Communications ◽  
Transmit Power ◽  
Transmit Power Control ◽  
Power Control Algorithm

In this study, we consider energy-efficient wireless-powered secure communications, in which N sets of transmitter, receiver, and energy harvesting (EH) nodes exist; each EH node is allowed only to harvest energy from the transmitted signals but is not to permitted to decode information. To maximize the sum secrecy energy efficiency (SEE) of the node sets while ensuring minimum EH requirement for each EH node, we propose a distributed transmit power control algorithm using a dual method, where each transmitter adjusts its transmit power iteratively until convergence without sharing information with the other node sets. Through simulations under various environments, we show that the proposed scheme surpasses conventional schemes in terms of the sum SEE and has significantly reduced computation time compared with the optimal scheme, which suggests the effectiveness and applicability of the proposed distributed method.

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