Research Article
Joint Optimization of Energy Efficiency and Interference for Green WLANs
@INPROCEEDINGS{10.1007/978-3-030-06161-6_20, author={Zhenzhen Han and Chuan Xu and Guofeng Zhao and Rongtong An and Xinheng Wang and Jihua Zhou}, title={Joint Optimization of Energy Efficiency and Interference for Green WLANs}, proceedings={Communications and Networking. 13th EAI International Conference, ChinaCom 2018, Chengdu, China, October 23-25, 2018, Proceedings}, proceedings_a={CHINACOM}, year={2019}, month={1}, keywords={Energy efficiency Interference Joint optimization Green WLAN}, doi={10.1007/978-3-030-06161-6_20} }- Zhenzhen Han
Chuan Xu
Guofeng Zhao
Rongtong An
Xinheng Wang
Jihua Zhou
Year: 2019
Joint Optimization of Energy Efficiency and Interference for Green WLANs
CHINACOM
Springer
DOI: 10.1007/978-3-030-06161-6_20
Abstract
In the past years, the issues of energy efficiency and interference are becoming increasingly serious in wireless local area network (WLAN) since lots of access points (AP) are deployed densely to provide high-speed users access. However, current works focus on solving the two issues separately and the influence of each other is rarely considered. To address these problems, we propose a joint optimization scheme of energy efficiency and interference to reduce energy consumption and interference together without sacrificing users’ traffic demands. Firstly, based on energy consumption measurement of AP and network interference analysis, we establish energy efficiency and interference models respectively. Then, the weighting method is introduced to build the joint optimization to quantify the effects of user-AP association, AP switch, AP transmit power and AP channel on energy consumption and interference. Lastly, we formulate the joint optimization as an Mixed Integer Non-Linear Programming (MINLP) problem. Since the MINLP problem is NP-hard, we proposed an Joint Optimization of Energy Efficiency and Interference (JOEI) algorithm based on greedy method to simplify its computational complexity. The evaluation results show that the proposed algorithm can effectively reduce the network energy consumption while improve the capacity of WLANs.
