Simulation Analysis of a Base Station Using Finite Buffer M/G/1 Queueing System with Variant Sleeps

V. Deepa () and M. Haridass ()
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V. Deepa: PSG College of Technology
M. Haridass: PSG College of Technology

Methodology and Computing in Applied Probability, 2023, vol. 25, issue 4, 1-18

Abstract: Abstract In communication networks, the signals from mobile phones are transmitted through Base Stations(BS). Nowadays the usage of mobile phones has tremendously increased. Approximately 80% of the input energy is dissipated as heat by the components of base stations (Holtkamp et al. in IEEE J Sel Areas Commun PP(99):1–10, 2013; Wu et al. in IEEE Commun Surveys Tuts 17(2):803–826, 2015). Various strategies are available to minimize the power consumption in a base station. One of the effective ways to reduce power consumption is sleeping strategy. Some of them are single sleep, multiple sleep, light sleep, deep sleep, N-policy. According to N-policy, the BS only enters the active state when there are N URs waiting in the queue. In this paper, a base station is modelled as finite buffer M/G/1 queue with two different sleeping modes namely, short sleep and long sleep. The probability generating function of queue size distribution is derived using supplementary variable technique. The expressions for expected power consumption and delay are derived. The proposed work is numerically justified using simulation. The simulation results are obtained and graphically verified in the proposed work.

Keywords: Base station; Short sleep; Long sleep; Power consumption; Delay; 60K25; 60K30; 90B22; 68M20 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11009-023-10052-z

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