LAPSE:2023.6466
Published Article

LAPSE:2023.6466
Renewable Energy-Based Energy-Efficient Off-Grid Base Stations for Heterogeneous Network
February 23, 2023
Abstract
The heterogeneous network (HetNet) is a specified cellular platform to tackle the rapidly growing anticipated data traffic. From a communications perspective, data loads can be mapped to energy loads that are generally placed on the operator networks. Meanwhile, renewable energy-aided networks offer to curtailed fossil fuel consumption, so to reduce the environmental pollution. This paper proposes a renewable energy based power supply architecture for the off-grid HetNet using a novel energy sharing model. Solar photovoltaics (PV) along with sufficient energy storage devices are used for each macro, micro, pico, or femto base station (BS). Additionally, a biomass generator (BG) is used for macro and micro BSs. The collocated macro and micro BSs are connected through end-to-end resistive lines. A novel-weighted proportional-fair resource-scheduling algorithm with sleep mechanisms is proposed for non-real time (NRT) applications by trading-off the power consumption and communication delays. Furthermore, the proposed algorithm with an extended discontinuous reception (eDRX) and power saving mode (PSM) for narrowband internet of things (IoT) applications extends the battery lifetime for IoT devices. HOMER optimization software is used to perform optimal system architecture, economic, and carbon footprint analyses while the Monte-Carlo simulation tool is used for evaluating the throughput and energy efficiency performances. The proposed algorithms are validated through the practical data of the rural areas of Bangladesh from which it is evident that the proposed power supply architecture is energy-efficient, cost-effective, reliable, and eco-friendly.
The heterogeneous network (HetNet) is a specified cellular platform to tackle the rapidly growing anticipated data traffic. From a communications perspective, data loads can be mapped to energy loads that are generally placed on the operator networks. Meanwhile, renewable energy-aided networks offer to curtailed fossil fuel consumption, so to reduce the environmental pollution. This paper proposes a renewable energy based power supply architecture for the off-grid HetNet using a novel energy sharing model. Solar photovoltaics (PV) along with sufficient energy storage devices are used for each macro, micro, pico, or femto base station (BS). Additionally, a biomass generator (BG) is used for macro and micro BSs. The collocated macro and micro BSs are connected through end-to-end resistive lines. A novel-weighted proportional-fair resource-scheduling algorithm with sleep mechanisms is proposed for non-real time (NRT) applications by trading-off the power consumption and communication delays. Furthermore, the proposed algorithm with an extended discontinuous reception (eDRX) and power saving mode (PSM) for narrowband internet of things (IoT) applications extends the battery lifetime for IoT devices. HOMER optimization software is used to perform optimal system architecture, economic, and carbon footprint analyses while the Monte-Carlo simulation tool is used for evaluating the throughput and energy efficiency performances. The proposed algorithms are validated through the practical data of the rural areas of Bangladesh from which it is evident that the proposed power supply architecture is energy-efficient, cost-effective, reliable, and eco-friendly.
Record ID
Keywords
heterogeneous network, internet of things, optimal power systems, Renewable and Sustainable Energy
Subject
Suggested Citation
Islam KZ, Hossain MS, Ruhul Amin BM, Shafiullah GM, Sohel F. Renewable Energy-Based Energy-Efficient Off-Grid Base Stations for Heterogeneous Network. (2023). LAPSE:2023.6466
Author Affiliations
Islam KZ: School of Information Technology, Murdoch University, Murdoch, WA 6150, Australia; Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA 6150, Australia [ORCID]
Hossain MS: School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, Australia [ORCID]
Ruhul Amin BM: Centre for New Energy Transition Research, Federation University Australia, Ballarat, VIC 3350, Australia [ORCID]
Shafiullah GM: School of Engineering and Energy, Murdoch University, Perth, WA 6150, Australia [ORCID]
Sohel F: School of Information Technology, Murdoch University, Murdoch, WA 6150, Australia; Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA 6150, Australia [ORCID]
Hossain MS: School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, Australia [ORCID]
Ruhul Amin BM: Centre for New Energy Transition Research, Federation University Australia, Ballarat, VIC 3350, Australia [ORCID]
Shafiullah GM: School of Engineering and Energy, Murdoch University, Perth, WA 6150, Australia [ORCID]
Sohel F: School of Information Technology, Murdoch University, Murdoch, WA 6150, Australia; Centre for Crop and Food Innovation, Food Futures Institute, Murdoch University, Murdoch, WA 6150, Australia [ORCID]
Journal Name
Energies
Volume
16
Issue
1
First Page
169
Year
2022
Publication Date
2022-12-23
ISSN
1996-1073
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Original Submission
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PII: en16010169, Publication Type: Journal Article
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LAPSE:2023.6466
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https://doi.org/10.3390/en16010169
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Feb 23, 2023
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