Research Article
Green Distributed Power Control Algorithm for Multi-user Cognitive Radio Networks
@INPROCEEDINGS{10.1007/978-3-319-66628-0_10, author={Yinmeng Wang and Jian Chen and Chao Ren and Huiya Chang}, title={Green Distributed Power Control Algorithm for Multi-user Cognitive Radio Networks}, proceedings={Communications and Networking. 11th EAI international Conference, ChinaCom 2016 Chongqing, China, September 24-26, 2016, Proceedings, Part II}, proceedings_a={CHINACOM}, year={2017}, month={10}, keywords={Energy efficiency Cognitive radio networks Stackelberg game theory Pareto improvement}, doi={10.1007/978-3-319-66628-0_10} }- Yinmeng Wang
Jian Chen
Chao Ren
Huiya Chang
Year: 2017
Green Distributed Power Control Algorithm for Multi-user Cognitive Radio Networks
CHINACOM
Springer
DOI: 10.1007/978-3-319-66628-0_10
Abstract
Considering both system energy efficiency (EE) and the implementation of distributed power control algorithm in multi-user cognitive radio networks (CRNs), a multi-leader Stackelberg power control game algorithm is proposed to achieve continuous Pareto improvements in non-cooperative power control game (NPG) in this paper. By combining the advantages of cooperative and non-cooperative games with consideration of secondary users’ quality of service (QoS) requirements, the problems of low system EE of non-cooperative game and limited Pareto improvement of single leader Stackelberg game are solved. Simple utility function and time back-off are utilized to facilitate the implementation of distributed algorithm. Simulations show that the proposed algorithm improves the system EE as Pareto improvement is reached. Meanwhile, primary user’s QoS is guaranteed as secondary users transmit with lower power.
