scholarly journals Survey on Energy Saving Methods for Green Communication Network

2015 ◽  
Vol 8 (19) ◽  
Author(s):  
J. Premalatha ◽  
U. Anitha ◽  
V. Manonmani ◽  
P. Ganesan
Keyword(s):  
Communication Network ◽  
Energy Saving ◽  
Green Communication

scholarly journals Appreciating Green Radio Communication Network Systems in a Problem-Oriented Project-Based Learning Environment A Theoretical Framework

2019 ◽  
Vol 8 (6) ◽  
pp. 864-874
Keyword(s):  
Communication Network ◽  
Content Analysis ◽  
Theoretical Framework ◽  
Project Based Learning ◽  
Team Work ◽  
Radio Communication ◽  
Green Communication ◽  
Network Systems ◽  
Green Radio ◽  
Analysis And Synthesis

The aim of this article was to present a POPBL theoretical framework for the teaching, learning and research in Green Radio Communication Network Systems. To this effect, a content analysis and synthesis of related scientific literature, models and frameworks was carried out based on the research tittle and key words. The article analyses and syntheses centred on the importance of green radio communication, principal factors in green communication as well as the process components. Also in the content analysis and synthesis are the POPBL elements, processes and related theories with the resulting instructional benefits. The resulting framework has the potentials of developing the generic skills like problem solving, team work, creativity, critical thinking and continues learning which have the potentials of achieving the goals of GRCNS.

scholarly journals Queueing decision model for throughput maximization in green communications networks

2019 ◽  
Vol 11 ◽  
pp. 184797901986724 ◽  
Author(s):  
Abiodun Gbenga-Ilori ◽  
Oluwabusayo Ladipo ◽  
Olumide Alamu
Keyword(s):  
Communication Network ◽  
Resource Sharing ◽  
Energy Efficient ◽  
Decision Model ◽  
Base Station ◽  
Throughput Maximization ◽  
Green Communication ◽  
Sharing Scheme ◽  
Proposed Model ◽  
The Impact

The various advancement in cellular technology has drawn huge attention to green communication by the stakeholders. Base station (BS) sleeping technique has been proposed as a way to reduce energy consumption in cellular networks, however, this may result in service delay for cellular users. In this article, we propose a queueing decision model for BS sleeping technique that maximizes energy-efficient utilization of the BSs in a green communication network while reducing the mean service waiting time for cellular users. The proposed model also ensures an optimal and interference-free resource sharing scheme that effectively enables channel borrowing through BS association in the network, thereby reducing call drop rate and further improving quality of service in the network. Numerical simulations are performed to observe the impact of the proposed model on spectrum access and consequently on the throughput of the green communication network. The article also observed the possible improvement in network delay with the proposed model. Results show that the queueing decision model is more energy-efficient. The model also provides a more spectrum-efficient sharing scheme compared to existing models, thereby enabling better network throughput.

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