The offloading model for green base stations in hybrid energy networks with multiple objectives. (12th May 2016)

• Record Type: Journal Article
• Authors: Wei, Yifei; Ren, Chenying; Song, Mei; Yu, Richard
• Is Part Of: International journal of communication systems. Volume 29:Number 11(2016)
• Page Start: 1805
• Page End: 1816
• Publication Date: 2016-05-12
• Subjects: green base station -- energy saving -- green energy -- offloading; Telecommunication systems -- Periodicals; 621.382
• DOI: 10.1002/dac.3146
• Languages: English
• ISSNs: 1074-5351

Abstract

Summary: Based on green energy prediction and storage, a novel green base station (GBS) offloading model is proposed and can be employed with multiple objectives in this paper to save energy. By predicting the value of green energy collected by GBS and updating the residual energy of each GBS, we can obtain the maximum number of users that each GBS can offload theoretically. Then, the optimum number of users should be calculated in order to achieve different network performance. Eventually, under the restrictions of the maximum number of users and the optimum number of users, we can finish offloading for traditional base station in the network. Simulation results demonstrate that through the proposed GBS offloading model, we can fulfill compromise between maximizing green energy utilization and load balancing in the offloading process, and the effect of energy saving is remarkable. Copyright © 2016 John Wiley & Sons, Ltd. Abstract : Green base station offloading model is proposed for wireless networks powered by hybrid energy. The optimum number of users that each base station should offload with different network performance is calculated based on green energy prediction and energy storage model. The proposed offloading model can fulfill compromise between maximizing green energy utilization and load balancing.