Self-Adaptive Scheduling of Base Transceiver Stations in Green 5G Networks

Self-Adaptive Scheduling of Base Transceiver Stations in Green 5G Networks

In this paper, we design self-adaptive scheduling (SAS) algorithms for base transceiver stations (BTSs) of 5G networks to improve energy efficiency, reduce carbon footprint, and develop a self-sustainable green cellular network. In the SAS algorithm, a BTS switches among its operating states (active...

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Bibliographic Details
Main Authors: Uzzal Kumar Dutta, Md Abdur Razzaque, M. Abdullah Al-Wadud, Md Saiful Islam, M. Shamim Hossain, B. B. Gupta
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
5G mobile communication
green design
adaptive scheduling
Online Access:https://ieeexplore.ieee.org/document/8272381/

Internet

https://ieeexplore.ieee.org/document/8272381/

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