Optimal Use of Harvested Solar, Hybrid Storage and Base Station Resources for Green Cellular Networks

Renewable energy (RE) is a promising solution to reduce grid energy consumption and carbon dioxide emissions of cellular networks. However, the benefit of utilizing RE is limited by its highly intermittent and unreliable nature, resulting in low savings in grid energy. To minimize the grid energy co...

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Bibliographic Details
Published in:IEEE transactions on green communications and networking 2018-09, Vol.2 (3), p.707-720
Main Authors: Chiang, Po-Han, Guruprasad, Ranjini B., Dey, Sujit
Format: Article
Language:English
Subjects:
Batteries
Carbon dioxide
Cellular communication
Cellular networks
Clean energy
Energy conservation
Energy consumption
Energy costs
Energy storage
Frequency division multiple access
Lyapunov methods
mobile communication
Optimization
Performance enhancement
Power consumption
Quality of service
Radio equipment
Resource allocation
Resource management
solar energy
stochastic optimal control
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Summary:Renewable energy (RE) is a promising solution to reduce grid energy consumption and carbon dioxide emissions of cellular networks. However, the benefit of utilizing RE is limited by its highly intermittent and unreliable nature, resulting in low savings in grid energy. To minimize the grid energy cost, we propose to utilize data buffer of user equipments as well as energy storage at the base station (BS) to better adapt the BS resource allocation and hence its energy consumption to the dynamic nature of RE. We consider the scenario of downlink orthogonal frequency division multiple access networks with non-ideal hybrid energy supply. To jointly optimize the energy consumption and the quality of service (QoS) of users, we adopt the weighted sum of users' utility of data rates and grid energy consumption as our performance metric. We propose a low-complexity online control scheme based on Lyapunov optimization framework. The proposed technique can provide asymptotically optimal performance bound without requiring the stochastic distribution information of RE arrival and channel state condition. The experimental results demonstrate the ability of the proposed approach to significantly improve the performance in terms of grid power consumption and user QoS compared with the existing schemes.
ISSN:2473-2400
2473-2400
DOI:10.1109/TGCN.2018.2834519