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.
Supported by the National Natural Science Foundation of China (Grant No.61701058), the Innovation Funds of Graduate PhD (Grant No.BYJS2017002), and Chongqing Graduate Research and Innovation Project(Grant No.CYB18167).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Han, Z., Xu, C., Zhao, G., An, R., Wang, X., Zhou, J. (2019). Joint Optimization of Energy Efficiency and Interference for Green WLANs. In: Liu, X., Cheng, D., Jinfeng, L. (eds) Communications and Networking. ChinaCom 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-06161-6_20
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DOI: https://doi.org/10.1007/978-3-030-06161-6_20
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