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When Green Energy Meets Cloud Radio Access Network: Joint Optimization Towards Brown Energy Minimization

  • Song Guo
  • Deze Zeng
  • Lin Gu
  • Jiangtao Luo
Article
  • 70 Downloads

Abstract

Wireless networks have experienced fast development in the past decades. Various advancing wireless technologies have been proposed. To catch up with the ever-increasing diverse communication needs, cloud-radio access networks (C-RAN), which decouples the baseband processing unit (BBU) from the remote radio head (RRH), has been proposed. On the other hand, it has been widely recognized that huge energy consumption has been raised due to the massive deployment of cellular networks. Lowering the network energy consumption therefore becomes a widely concerned topic. To combat the limitations in traditional power grid, smart grid, with the emphasis on distributed energy resource (DER) and bidirectional energy sharing, is advocated to power the wireless networks. In this paper, we are motivated to investigate a joint RRH-BBU association and energy sharing problem towards brown energy usage minimization in green energy powered C-RAN. The problem is formulated into a mixed integer linear programming (MILP) form. To deal with the computation complexity of solving MILP, a two-phase heuristic polynomial-time algorithm is proposed and evaluated via extensive simulation based studies.

Keywords

Renewable energy Cloud radio access networks Energy efficiency BBU allocation 

Notes

Acknowledgments

The work was jointly supported by the Chongqing Municipal Basic and Advanced Research project under GRANT cstc2015jcyjBX0009 and CSTCKJCXLJRC20.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of ComputingThe Hong Kong Polytechnic UniversityKowloonHong Kong
  2. 2.Chongqing University of Posts and TelecommunicationsChongqingChina
  3. 3.School of Computer Science, Hubei Key Laboratory of Intelligent Geo-Information ProcessingChina University of GeosciencesWuhanChina
  4. 4.School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhanChina

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