Energy-efficient coordinated multipoint scheduling in green cloud radio access network

Deze Zeng, Jie Zhang, Lin Gu, Song Guo, Jiangtao Luo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

14 Citations (Scopus)


The fast development of mobile computing has raised ever-increasing diverse communication needs in wireless networks. To catch up with such needs, cloud radio access networks (CRAN) is proposed to enable efficient radio resource sharing and management. At the same time, the massive deployment of radio access networks has caused huge energy consumption. Incorporating renewable green energy to lower the brown energy consumption also has become a widely concerned topic. In this paper, we are motivated to investigate a green energy aware remote radio head activation problem for coordinated multipoint communications in green energy powered CRAN, aiming at minimizing the network brown energy power consumption. The problem is first formulated into a nonconvex optimization form. By analyzing the characteristics of the formulation, we further propose a heuristic algorithm based on an ordered selection method. Extensive simulation based experiment results show that the proposed green energy aware algorithm provides an effective way to reduce brown energy power consumption, well fitting the goal of developing green communications.

Original languageEnglish
Article number8425766
Pages (from-to)9922-9930
Number of pages9
JournalIEEE Transactions on Vehicular Technology
Issue number10
Publication statusPublished - 1 Oct 2018


  • cloud radio access networks
  • convex optimization
  • energy efficiency
  • Green energy

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Applied Mathematics
  • Electrical and Electronic Engineering

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