Renewable Energy-Based Energy-Efficient Off-Grid Base Stations for Heterogeneous Network

被引:3
作者
Islam, Khondoker Ziaul [1 ,2 ]
Hossain, Md. Sanwar [3 ]
Amin, B. M. Ruhul [4 ]
Shafiullah, G. M. [5 ]
Sohel, Ferdous [1 ,2 ]
机构
[1] Murdoch Univ, Sch Informat Technol, Murdoch, WA 6150, Australia
[2] Murdoch Univ, Food Futures Inst, Ctr Crop & Food Innovat, Murdoch, WA 6150, Australia
[3] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW 2522, Australia
[4] Federat Univ Australia, Ctr New Energy Transit Res, Ballarat, Vic 3350, Australia
[5] Murdoch Univ, Sch Engn & Energy, Perth, WA 6150, Australia
关键词
heterogeneous network; renewable energy; internet of things; optimal power systems; CELLULAR NETWORKS; BIOMASS ENERGY; SOLAR PV; RESOURCES; BANGLADESH; GENERATION; MANAGEMENT; ALGORITHM; FRAMEWORK; SYSTEM;
D O I
10.3390/en16010169
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
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页数:33
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