Abstract
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 language | English |
|---|---|
| Article number | 8425766 |
| Pages (from-to) | 9922-9930 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 67 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 1 Oct 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- 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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