Queueing models with controlled arrival and energy efficiency in a base station using variant sleeping strategies

Abstract

The theory of queues is a study of waiting lines. In the present newlinescenario, it is mandatory to wait in a queue in order to receive any kind of newlineservices. Due to a long queue and absence of servers, all the arriving customers newlineare not served upon their arrival. Queuing theory can be used to analyse this newlinekind of queue behaviour. Using the supplementary variable technique, the newlineprobability generating function was determined for each model. Analytical, newlinesimulation, or a combination of analytical and simulation methods were used to newlinedetermine metrics like the steady-state probability of various server states, the newlinemean customer waiting time, the average number of customers in the system, newlineand so forth. newlineIn communication networks, the signals from mobile phones are newlinetransmitted through Base Stations (BS). Nowadays the usage of mobile phones newlinehas tremendously increased. Approximately 80% of the input energy is newlinedissipated as heat by the components of base stations ( Holtkamp 2013), newline(Zhang 2016). To meet the increasing demand of high-data-rate for wireless newlineapplications, small cell BSs provide a promising and feasible approach which newlineconsumes more power. Hence, energy efficiency in small cell BSs is a major newlineissue to be concerned. Various strategies are available to minimize the power newlineconsumption in a base station. One of the effective ways to reduce power newlineconsumption is sleeping strategy. newline