@inproceedings{856b803af6d5420fadb7cf9453b5a634,
title = "Computing resource aware energy saving scheme for cloud radio access networks",
abstract = "Cloud radio access network (Cloud-RAN) has been recognized as one of the most promising architectures for next generation wireless network. The features of Cloud-RAN include the central signal processing mechanism and the flexible information interaction among cloud platforms. The General- Purpose Processors (GPP) are a more efficient to multiplex computing resource in the cloud platform. In this paper, we study the impact of the computing resource sharing on the total power consumption in downlink Cloud-RAN. Aiming to minimize the total power consumption of Cloud-RAN, we formulate the optimization problem with the consideration of the power consumption in the cloud platform, fronthaul links and base stations. By leveraging the iterative l0 approximation method, we transform the optimization problem into a second-order conic programming (SOCP) problem. Then, we propose a two-loop iterative algorithm to obtain the optimal solution. Simulation results show that the proposed algorithm significantly reduces power consumption of Cloud-RAN as compared to the static resource allocation algorithm. The simulations also validate that the GPP-based Cloud-RAN achieves better power consumption performance as compared to the traditional network and Virtual Base Station (VBS)-based network.",
keywords = "Cloud-RAN, Computing resource, Energy saving, GPP",
author = "Qiang Liu and Tao Han and Gang Wu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2016, 9th IEEE International Conference on Social Computing and Networking, SocialCom 2016 and 2016 IEEE International Conference on Sustainable Computing and Communications, SustainCom 2016 ; Conference date: 08-10-2016 Through 10-10-2016",
year = "2016",
month = oct,
day = "26",
doi = "10.1109/BDCloud-SocialCom-SustainCom.2016.84",
language = "English (US)",
series = "Proceedings - 2016 IEEE International Conferences on Big Data and Cloud Computing, BDCloud 2016, Social Computing and Networking, SocialCom 2016 and Sustainable Computing and Communications, SustainCom 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "541--547",
editor = "Zhipeng Cai and Guangchun Luo and Liang Cheng and Rafal Angryk and Yingshu Li and Anu Bourgeois and Wenzhan Song and Xiaojun Cao and Bhaskar Krishnamachari",
booktitle = "Proceedings - 2016 IEEE International Conferences on Big Data and Cloud Computing, BDCloud 2016, Social Computing and Networking, SocialCom 2016 and Sustainable Computing and Communications, SustainCom 2016",
address = "United States",
}