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Discrete Breathing: An Energy Efficient Resource Scheduling for Future Wireless Networks
Published in Institute of Electrical and Electronics Engineers Inc.
2019
Volume: 3
   
Issue: 2
Pages: 275 - 287
Abstract
With ever growing smart applications and data demand, the energy consumption of a cellular network is increasing. Also, with increase in the number of base stations deployed, the cell edge users are greatly affected. Increase in energy consumption causes increase in operational expenditure of the system while inefficient handling of cell edge users results in decreased quality of experience (QoE) of users. Therefore, in this paper, we propose an energy efficient scheduling algorithm called discrete breathing which aims at minimizing the energy consumption of the system, such that the interference of cell edge users is mitigated. Furthermore, we analyze the proposed system and derive some important theorems that make the system energy efficient. We then propose a modified algorithm to consider QoE of users to schedule the resources (resource blocks). We also show that the proposed algorithm is generic and can be applied to various advanced networks, such as heterogeneous networks and dense femtocell networks. By extensive simulations we show the effectiveness of our proposed algorithm in terms of energy consumption, throughput, and energy consumption rating. © 2017 IEEE.
About the journal
JournalData powered by TypesetIEEE Transactions on Green Communications and Networking
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
ISSN24732400
Open AccessNo
Concepts (16)
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    Energy utilization
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    Femtocell
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    Heterogeneous networks
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    Quality of service
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    Scheduling
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    Scheduling algorithms
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    Wireless networks
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    Energy-efficient scheduling
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    Extensive simulations
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    Future wireless networks
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    Modified algorithms
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    Operational expenditures
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    QUALITY OF EXPERIENCE (QOE)
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    RESOURCE-SCHEDULING
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    SUB-FRAME
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    Energy efficiency