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Energy Efficiency in a Base Station of 5G Cellular Networks using M/G/1 Queue with Multiple Sleeps and N-Policy

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Abstract

Reducing energy consumption is the vital goal of green communication. Base station (BS) is a radio receiver/transmitter that serves as the hub of the local wireless network. It is a gateway between a wired network and the wireless network. BS consumes high energy to receive and transfer the signals. Power consumption in base station can be minimized by using effective sleep and wake-up/setup operations with a tolerable delay. In this research work, the service process of the BS is considered as an M/G/1 queue with close down, sleep and setup. The strategy N-Policy is introduced to awake the BS from multiple sleeps (MS) after a predefined number N of user requests (URs) accumulated in the system. The supplementary variable technique is used to obtain the probability-generating functions and the steady-state probabilities for different states of the BS. The mean delay of the UR and mean power consumption of the BS are also derived. Also, the comparative analysis of the proposed model with the existing model has been presented. Computational results show that multiple sleeps with N-policy consumes less power than multiple sleeps without N-policy.

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Acknowledgements

We thank the editor and the anonymous reviewers for their insightful corrections, which helped in improving the paper. One of the author(Deena Merit C K) acknowledges the Summer Faculty Research Fellow (SFRF-2021) Programme of CEP, IIT Delhi, which enabled to pursue research in IIT Delhi. One of the authors (Dharmaraja Selvamuthu) thanks Bharti Airtel Limited, India, for financial support in this research work.

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Correspondence to Deena Merit C.K..

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C.K., D., M., H., Selvamuthu, D. et al. Energy Efficiency in a Base Station of 5G Cellular Networks using M/G/1 Queue with Multiple Sleeps and N-Policy. Methodol Comput Appl Probab 25, 48 (2023). https://doi.org/10.1007/s11009-023-10026-1

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  • DOI: https://doi.org/10.1007/s11009-023-10026-1

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