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http://dx.doi.org/10.3837/tiis.2016.10.012

QoS Aware Energy Allocation Policy for Renewable Energy Powered Cellular Networks  

Li, Qiao (School of Electronic Engineering, Beijing University of Posts and Telecommunications)
Wei, Yifei (School of Electronic Engineering, Beijing University of Posts and Telecommunications)
Song, Mei (School of Electronic Engineering, Beijing University of Posts and Telecommunications)
Yu, F. Richard (Department of Systems and Computer Engineering, Carleton University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.10, no.10, 2016 , pp. 4848-4863 More about this Journal
Abstract
The explosive wireless data service requirement accompanied with carbon dioxide emission and consumption of traditional energy has put pressure on both industria and academia. Wireless networks powered with the uneven and intermittent generated renewable energy have been widely researched and lead to a new research paradigm called green communication. In this paper, we comprehensively consider the total generated renewable energy, QoS requirement and channel quality, then propose a utility based renewable energy allocation policy. The utility here means the satisfaction degree of users with a certain amount allocated renewable energy. The energy allocation problem is formulated as a constraint optimization problem and a heuristic algorithm with low complexity is derived to solve the raised problem. Numerical results show that the renewable energy allocation policy is applicable not only to soft QoS, but also to hard QoS and best effort QoS. When the renewable energy is very scarce, only users with good channel quality can achieve allocated energy.
Keywords
Green cellular networks; renewable energy allocation; QoS; utility maximization;
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