On reducing energy cost consumption in heterogeneous cellular networks using optimal time constraint algorithm
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 con...
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| Vydané v: | Optik (Stuttgart) Ročník 270; s. 170008 |
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| Jazyk: | English |
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Elsevier GmbH
01.11.2022
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| ISSN: | 0030-4026 |
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| 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 the cellular network's total energy usage. This paper examines the reasons, difficulties, and techniques for addressing renewable heterogeneous networks' energy cost reduction issue. Because of the variety of renewable energy and mobile traffic, the issue of reducing energy costs 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. |
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| AbstractList | 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 the cellular network's total energy usage. This paper examines the reasons, difficulties, and techniques for addressing renewable heterogeneous networks' energy cost reduction issue. Because of the variety of renewable energy and mobile traffic, the issue of reducing energy costs 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. |
| ArticleNumber | 170008 |
| Author | Chanthirasekaran, K. Haldorai, Anandakumar Mishra, Divyendu Kumar Kalpana, V. Saraswat, Bal Krishna Nath, Srigitha.S. |
| Author_xml | – sequence: 1 givenname: V. surname: Kalpana fullname: Kalpana, V. email: kalpanavadivelu@gmail.com organization: Computer Science and Engineering, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Avadi, Chennai 600062, India – sequence: 2 givenname: Divyendu Kumar surname: Mishra fullname: Mishra, Divyendu Kumar email: divyendu01mishra@gmail.com organization: Department of Computer Science & Engineering, Faculty of Engineering, Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India – sequence: 3 givenname: K. surname: Chanthirasekaran fullname: Chanthirasekaran, K. email: chanthirasekarank.sse@saveetha.com organization: ECE Department, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, India – sequence: 4 givenname: Anandakumar surname: Haldorai fullname: Haldorai, Anandakumar email: anandakumar.psgtech@gmail.com organization: Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu 641202, India – sequence: 5 givenname: Srigitha.S. surname: Nath fullname: Nath, Srigitha.S. email: hod.ece@saveetha.ac.in organization: ECE, Saveetha Engineering College, Saveetha Nagar, Thandalam, Chennai 602105, India – sequence: 6 givenname: Bal Krishna surname: Saraswat fullname: Saraswat, Bal Krishna email: saraswat.banti@gmail.com organization: Deprtment of Computer Science & Engineering, Faculty of Engineering & Technology, SRM Institute of Science & Technology, NCR Campus, Modinagar, Ghaziabad, Uttar Pradesh 201204, India |
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| Title | On reducing energy cost consumption in heterogeneous cellular networks using optimal time constraint algorithm |
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