Traffic Aware Energy Management in Cellular Networks with Renewable Energy Powered Base Stations

2016 ◽  
Author(s):  
Qiao Li ◽  
Yifei Wei ◽  
Mei Song ◽  
F. Richard Yu
Keyword(s):  
Renewable Energy ◽  
Cellular Networks ◽  
Energy Management ◽  
Base Stations

scholarly journals Renewable Energy-Enabled Cellular Networks

2021 ◽  
Author(s):  
Young-Chai Ko ◽  
Kug-Jin Jung ◽  
Ki Hong Park ◽  
Mohamed-Slim Alouini
Keyword(s):  
Renewable Energy ◽  
Cellular Networks ◽  
Energy Demand ◽  
Feasibility Studies ◽  
Power Grids ◽  
Base Stations ◽  
Future Research ◽  
Survey Paper ◽  
Aerial Platforms ◽  
Carbon Dioxide Co2

<div> <div> <div> <p>Renewable energy (RE)-powered base stations (BSs) have been considered as an attractive solution to address the exponential increasing energy demand in cellular networks while decreasing carbon dioxide (CO2) emissions. For the regions where reliable power grids are insufficient and infeasible to deploy, such as aerial platforms and harsh environments, RE has been an alternative power source for BSs. In this survey paper, we provide an overview of RE-enabled cellular networks, detailing their analysis, classification, and related works. First, we introduce the key components of RE-powered BSs along with their frequently adopted models. Second, we analyze the proposed strategies and design issues for RE-powered BSs that can be incorporated into cellular networks and categorize them into several groups to provide a good grasp. Third, we introduce feasibility studies on RE-powered BSs based on the recent literature. Fourth, we investigate RE-powered network components other than terrestrial BSs to address potential issues regarding RE-enabled networks. Finally, we suggest future research directions and conclusions. </p><p><br></p> </div> </div> </div>

scholarly journals Toward Energy Efficiency Aware Renewable Energy Management in Green Cellular Networks With Joint Coordination

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 75782-75797 ◽  
Author(s):  
Abu Jahid ◽  
Md. Shamimul Islam ◽  
Md. Sanwar Hossain ◽  
Md. Emran Hossain ◽  
Md. Kamrul Hasan Monju ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Cellular Networks ◽  
Energy Management ◽  
Joint Coordination

scholarly journals On Reducing Energy Cost Consumption in Heterogeneous Cellular Networks using Optimal Time Constraint Algorithm

2021 ◽  
Author(s):  
V Kalpana ◽  
Divyendu Kumar Mishra ◽  
K. Chanthirasekaran ◽  
Anandakumar Haldorai ◽  
Srigitha. S. Nath ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Cellular Networks ◽  
Energy Cost ◽  
Time Constraint ◽  
Base Stations ◽  
Optimal Time ◽  
Energy Usage ◽  
Heterogeneous Cellular Networks ◽  
A New Technique

Abstract The increasing data demand in recent years has resulted in a considerable rise in heterogeneous cellular network energy usage. Advances in heterogeneous cellular networks with renewable energy supplied from base stations offer the cellular communications sector interesting options. Rising energy consumption, fuelled by huge growth in user count as well as usage of data, has emerged as the most pressing challenge for operators in fulfilling cost-cutting and environmental-impact objectives. The use of minimum power relay stations or base stations in conventional microcells is intended to lower cellular network's total energy usage. We examine the reasons, difficulties, and techniques for addressing the energy cost reduction issue for such renewable heterogeneous networks in this paper. Because of the variety of renewable energy as well as mobile traffic, then the issue related to a reduction in energy cost necessitates both spatial and temporal resource allotment optimization. In this paper, we proposed a new technique for reducing the energy consumption cost using the optimal time constraint algorithmic approach. We demonstrate that the proposed method has time as well as space complexity. Experimental simulations on actual databases with synthetic costs are used to confirm the usefulness and efficacy of our method.

scholarly journals Renewable Energy-Enabled Cellular Networks

2021 ◽  
Author(s):  
Young-Chai Ko ◽  
Kug-Jin Jung ◽  
Ki Hong Park ◽  
Mohamed-Slim Alouini
Keyword(s):  
Renewable Energy ◽  
Cellular Networks ◽  
Energy Demand ◽  
Feasibility Studies ◽  
Power Grids ◽  
Base Stations ◽  
Future Research ◽  
Survey Paper ◽  
Aerial Platforms ◽  
Carbon Dioxide Co2

<div> <div> <div> <p>Renewable energy (RE)-powered base stations (BSs) have been considered as an attractive solution to address the exponential increasing energy demand in cellular networks while decreasing carbon dioxide (CO2) emissions. For the regions where reliable power grids are insufficient and infeasible to deploy, such as aerial platforms and harsh environments, RE has been an alternative power source for BSs. In this survey paper, we provide an overview of RE-enabled cellular networks, detailing their analysis, classification, and related works. First, we introduce the key components of RE-powered BSs along with their frequently adopted models. Second, we analyze the proposed strategies and design issues for RE-powered BSs that can be incorporated into cellular networks and categorize them into several groups to provide a good grasp. Third, we introduce feasibility studies on RE-powered BSs based on the recent literature. Fourth, we investigate RE-powered network components other than terrestrial BSs to address potential issues regarding RE-enabled networks. Finally, we suggest future research directions and conclusions. </p><p><br></p> </div> </div> </div>

scholarly journals Energy-aware caching and collaboration for green communication systems

2020 ◽  
pp. 47-59
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Harvesting ◽  
Cellular Networks ◽  
Communication Systems ◽  
Green Energy ◽  
Base Stations ◽  
Next Generation ◽  
Content Caching ◽  
Self Powered

Social networks and mobile applications tend to enhance the need for high-quality content access. To meet the growing demand for data services in 5G cellular networks, it is important to develop effective content caching and distribution techniques, to reduce redundant data transmission and thereby improve network efficiency significantly. It is anticipated that energy harvesting and self-powered Small Base Stations' (SBS) are the rudimentary constituents of next-generation cellular networks. However, uncertainties in harvested energy are the primary reasons to opt for energy-efficient (EE) power control schemes to reduce SBS energy consumption and ensure the quality of services for users. Using edge collaborative caching, such EE design can also be achievable via the use of the content cache, decreasing the usage of capacity limited SBSs backhaul and reducing energy utilisation. Renewable energy (RE) harvesting technologies can be leveraged to manage the huge power demands of cellular networks. To reduce carbon footprint and improve energy efficiency, we tailored a more practical approach and propose green caching mechanisms for content distribution that utilise the content caching and renewable energy concept. Simulation results and analysis provide key insights that the proposed caching scheme brings a substantial improvement regarding content availability, cache storage capacity at the edge of cellular networks, enhances energy efficiency, and increases cache collaboration time up to 24%. Furthermore, self-powered base stations and energy harvesting are an ultimate part of next-generation wireless networks, particularly in terms of optimum economic sustainability and green energy in developing countries for the evolution of mobile networks.

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