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Artificial Intelligence Based Technique for Base Station Sleeping

In: New Trends in Computational Vision and Bio-inspired Computing

Author

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  • Deepa Palani

    (Sethu Institute of Technology)

  • Merline Arulraj

    (Sethu Institute of Technology)

Abstract

In the progress of 5G wireless cellular network the heterogeneous network plays an important role. In this paper energy consumption is investigated. Fırst, the placement of Small Base station with Macro Base station which reduces the power consumption then by applying Genetic Algorithm to reduce the power ingestion by switch off the Base station depends upon the load. Before that, the path loss (Okumura–Hata) which is an important parameter in the wireless network can be calculated using the different components like various parameters such as transmitting power, height and distance. Simulation results show that the optimization algorithm achieves nearly optimal performance.

Suggested Citation

  • Deepa Palani & Merline Arulraj, 2020. "Artificial Intelligence Based Technique for Base Station Sleeping," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 1623-1632, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_166
    DOI: 10.1007/978-3-030-41862-5_166
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