Artificial Intelligence Based Technique for Base Station Sleeping

Deepa Palani and Merline Arulraj ()
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Deepa Palani: Sethu Institute of Technology
Merline Arulraj: Sethu Institute of Technology

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1623-1632 from Springer

Abstract: 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.

Keywords: Base station; Network planning; Blocking probability; Propagation model; Genetic algorithm (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_166

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DOI: 10.1007/978-3-030-41862-5_166

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