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A Sustainable Approach to Reduce Power Consumption and Harmful Effects of Cellular Base Stations

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Intelligent Computing & Optimization (ICO 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 569))

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Abstract

Cellular base stations consume a lot of energy since it requires a 24-h continuous power supply which results in an increased operational expenditure (OPEX) and environmental pollution. This OPEX and harmful effects should be decreased to achieve sustainable and profitable businesses for mobile operators. In this case, a hybrid renewable energy solution like solar energy and wind power is proposed which will be used to power these cellular base stations. Solar energy can power daytime and wind power can power both day and nighttime. Thus, together they can supply power efficiently. When a particular base station fails, or its workload is high then its workload can be transferred to another base station for a certain amount of period. Sometimes a base station’s workload can be transferred to another idle base station. Base stations can be switched to sleep mode when data traffic is low. This can help to save a lot of electric energy. The final result will be a sustainable cellular base station. Most of the goals can be achieved by our proposed method like less energy consumption, carbon-free service, and less radio frequency (RF). This paper proposes a new solution like hybrid renewable energy along with sleep mode. Mobile operators can be benefitted from this paper to make their business sustainable and more cost-effective.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, East West University, Dhaka, 1212, Bangladesh

    Md. Ashikur Rahman, Samir Asif, Md. Shahtab Hossain, Tawfiqul Alam & Ahmed Wasif Reza

  2. Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1341, Bangladesh

    Mohammad Shamsul Arefin

  3. Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chattogram, 4349, Bangladesh

    Mohammad Shamsul Arefin

Authors
  1. Md. Ashikur Rahman
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  2. Samir Asif
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  3. Md. Shahtab Hossain
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  4. Tawfiqul Alam
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  5. Ahmed Wasif Reza
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  6. Mohammad Shamsul Arefin
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Corresponding author

Correspondence to Mohammad Shamsul Arefin .

Editor information

Editors and Affiliations

  1. Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Pandian Vasant

  2. Faculty of Engineering Management, Poznan University of Technology, Poznań, Wielkopolskie, Poland

    Gerhard-Wilhelm Weber

  3. Facultad de IngenierĂ­a, Universidad Panamericana, Mexico City, Mexico

    José Antonio Marmolejo-Saucedo

  4. Department of Business Statistics and Operations Research, School of Economic Sciences, North West University, Mahikeng, South Africa

    Elias Munapo

  5. Department of Computer Science, UOW Malaysia KDU Penang University Colle, George Town, Malaysia

    J. Joshua Thomas

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Rahman, M.A., Asif, S., Hossain, M.S., Alam, T., Reza, A.W., Arefin, M.S. (2023). A Sustainable Approach to Reduce Power Consumption and Harmful Effects of Cellular Base Stations. In: Vasant, P., Weber, GW., Marmolejo-Saucedo, J.A., Munapo, E., Thomas, J.J. (eds) Intelligent Computing & Optimization. ICO 2022. Lecture Notes in Networks and Systems, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-031-19958-5_66

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