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Papers by priyanka kalita

Research paper thumbnail of Stochastic modelling of sleeping strategy in 5G base station for energy efficiency

Telecommunication Systems, Apr 28, 2023

Research paper thumbnail of Stochastic modeling for energy efficiency in modified directional discontinuous reception for LTE‐5G networks

International Journal of Communication Systems, Jan 26, 2023

SummaryFifth‐generation (5G) networks deal with high‐frequency data rates, ultra‐low latency, mor... more SummaryFifth‐generation (5G) networks deal with high‐frequency data rates, ultra‐low latency, more reliability, massive network capacity, more availability, and a more uniform user experience. To validate the high‐frequency rates, 5G networks engage beam searching operation. By adopting a beam searching state between the short and long sleep, one can reduce the system's delay. The energy consumption of user equipment (UE) in 5G networks is much higher than in the 4G networks. To reduce the energy consumption and increase the energy saving in UE, Long‐Term Evolution (LTE)‐5G networks adopt the discontinuous reception (DRX) scheme with a fixed number of short sleep. LTE‐DRX without beam search operation (i.e., beam alignment) cannot work in 5G networks. Hence, keeping this scenario in mind, we have modeled a new modified directional discontinuous reception (MD‐DRX) mechanism for LTE‐5G networks. The MD‐DRX mechanism captures the behavior of a beam searching, an inactive, an active, a long sleep, an ON, and a short sleep states. The short sleep state consists of a maximum short sleep. To get the optimal energy saving and energy consumption (i.e., energy efficiency) from the MD‐DRX mechanism, it is required to check the system's throughput. The trade‐off between energy saving/energy consumption and throughput will provide the system's optimal energy saving and optimal energy consumption. In this paper, we have obtained the system's optimal energy saving and throughput by optimizing the maximum short sleep and short sleep duration. To get the energy efficiency for LTE‐5G networks, the trade‐off between average energy consumption/energy saving and throughput is shown.

Research paper thumbnail of Analysis of energy efficiency of small cell base station in 4G/5G networks

Telecommunication Systems, Jan 25, 2023

Research paper thumbnail of Stochastic modelling of sleeping strategy in 5G base station for energy efficiency

Telecommunication Systems

Research paper thumbnail of Stochastic modeling for energy efficiency in modified directional discontinuous reception for LTE‐5G networks

International Journal of Communication Systems

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

Methodology and Computing in Applied Probability

Research paper thumbnail of Analysis of batch arrival single server queue with random vacation policy and two types of general heterogeneous repeated service

International Journal of Operational Research, 2021

Research paper thumbnail of Estimation of Mortality Rate of COVID-19 in India using SEIRD Model

OPSEARCH, 2021

In India, the number of infections is rapidly increased with a mounting death toll during the sec... more In India, the number of infections is rapidly increased with a mounting death toll during the second wave of Coronavirus disease (COVID-19). To measure the severity of the said disease, the mortality rate plays an important role. In this research work, the mortality rate of COVID-19 is estimated by using the Susceptible-Exposed-Infected-Recovered-Dead (SEIRD) epidemiological model. As the disease contains a significant amount of uncertainty, a fundamental SEIRD model with minimal assumptions is employed. Further, a basic method is proposed to obtain time-dependent estimations of the parameters of the SEIRD model by using historical data. From our proposed model and with the predictive analysis, it is expected that the infection may go rise in the month of May-2021 and the mortality rate could go as high as 1.8%. Such high rates of mortality may be used as a measure to understand the severity of the situation.

Research paper thumbnail of Analysis of Single Server Queue with Modified Vacation Policy

Methodology and Computing in Applied Probability, 2019

This article deals with single server queue with modified vacation policy. The modified vacation ... more This article deals with single server queue with modified vacation policy. The modified vacation policy captures the operation of a close down period, type 1 vacation period, type 2 vacation period, a start-up period and a dormant period. Here, type 1 vacations takes a short period of random duration and type 2 vacation take a long period of random duration. Explicit expressions have been obtained for steady state queue size distribution at service completion point and steady state system size probabilities. The Laplace-Stieltjes transform of waiting time and its corresponding mean value have been obtained for the system. Finally, some numerical examples have been provided and use the parabolic method to search the optimum value of the control parameter p.

Research paper thumbnail of Analysis of energy efficiency of small cell base station in 4G/5G networks

Telecommunication Systems

Research paper thumbnail of A single server queue under random vacation policy

RAIRO - Operations Research, Sep 10, 2019

This paper deals with an M/G/1 queueing system with random vacation policy, in which the server t... more This paper deals with an M/G/1 queueing system with random vacation policy, in which the server takes the maximum number of random vacations till it finds minimum one message (customer) waiting in a queue at a vacation completion epoch. If no arrival occurs after completing maximum number of random vacations, the server stays dormant in the system and waits for the upcoming arrival. Here, we obtain steady state queue size distribution at an idle period completion epoch and service completion epoch. We also obtain the steady state system size probabilities and system state probabilities. Some significant measures such as a mean number of customers served during the busy period, Laplace-Stieltjes transform of unfinished work and its corresponding mean value and second moment have been obtained for the system. A cost optimal policy have been developed in terms of the average cost function to determine a locally optimal random vacation policy at a lower cost. Finally, we present various numerical results for the above system performance measures.

Research paper thumbnail of Stochastic modelling of sleeping strategy in 5G base station for energy efficiency

Telecommunication Systems, Apr 28, 2023

Research paper thumbnail of Stochastic modeling for energy efficiency in modified directional discontinuous reception for LTE‐5G networks

International Journal of Communication Systems, Jan 26, 2023

SummaryFifth‐generation (5G) networks deal with high‐frequency data rates, ultra‐low latency, mor... more SummaryFifth‐generation (5G) networks deal with high‐frequency data rates, ultra‐low latency, more reliability, massive network capacity, more availability, and a more uniform user experience. To validate the high‐frequency rates, 5G networks engage beam searching operation. By adopting a beam searching state between the short and long sleep, one can reduce the system's delay. The energy consumption of user equipment (UE) in 5G networks is much higher than in the 4G networks. To reduce the energy consumption and increase the energy saving in UE, Long‐Term Evolution (LTE)‐5G networks adopt the discontinuous reception (DRX) scheme with a fixed number of short sleep. LTE‐DRX without beam search operation (i.e., beam alignment) cannot work in 5G networks. Hence, keeping this scenario in mind, we have modeled a new modified directional discontinuous reception (MD‐DRX) mechanism for LTE‐5G networks. The MD‐DRX mechanism captures the behavior of a beam searching, an inactive, an active, a long sleep, an ON, and a short sleep states. The short sleep state consists of a maximum short sleep. To get the optimal energy saving and energy consumption (i.e., energy efficiency) from the MD‐DRX mechanism, it is required to check the system's throughput. The trade‐off between energy saving/energy consumption and throughput will provide the system's optimal energy saving and optimal energy consumption. In this paper, we have obtained the system's optimal energy saving and throughput by optimizing the maximum short sleep and short sleep duration. To get the energy efficiency for LTE‐5G networks, the trade‐off between average energy consumption/energy saving and throughput is shown.

Research paper thumbnail of Analysis of energy efficiency of small cell base station in 4G/5G networks

Telecommunication Systems, Jan 25, 2023

Research paper thumbnail of Stochastic modelling of sleeping strategy in 5G base station for energy efficiency

Telecommunication Systems

Research paper thumbnail of Stochastic modeling for energy efficiency in modified directional discontinuous reception for LTE‐5G networks

International Journal of Communication Systems

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

Methodology and Computing in Applied Probability

Research paper thumbnail of Analysis of batch arrival single server queue with random vacation policy and two types of general heterogeneous repeated service

International Journal of Operational Research, 2021

Research paper thumbnail of Estimation of Mortality Rate of COVID-19 in India using SEIRD Model

OPSEARCH, 2021

In India, the number of infections is rapidly increased with a mounting death toll during the sec... more In India, the number of infections is rapidly increased with a mounting death toll during the second wave of Coronavirus disease (COVID-19). To measure the severity of the said disease, the mortality rate plays an important role. In this research work, the mortality rate of COVID-19 is estimated by using the Susceptible-Exposed-Infected-Recovered-Dead (SEIRD) epidemiological model. As the disease contains a significant amount of uncertainty, a fundamental SEIRD model with minimal assumptions is employed. Further, a basic method is proposed to obtain time-dependent estimations of the parameters of the SEIRD model by using historical data. From our proposed model and with the predictive analysis, it is expected that the infection may go rise in the month of May-2021 and the mortality rate could go as high as 1.8%. Such high rates of mortality may be used as a measure to understand the severity of the situation.

Research paper thumbnail of Analysis of Single Server Queue with Modified Vacation Policy

Methodology and Computing in Applied Probability, 2019

This article deals with single server queue with modified vacation policy. The modified vacation ... more This article deals with single server queue with modified vacation policy. The modified vacation policy captures the operation of a close down period, type 1 vacation period, type 2 vacation period, a start-up period and a dormant period. Here, type 1 vacations takes a short period of random duration and type 2 vacation take a long period of random duration. Explicit expressions have been obtained for steady state queue size distribution at service completion point and steady state system size probabilities. The Laplace-Stieltjes transform of waiting time and its corresponding mean value have been obtained for the system. Finally, some numerical examples have been provided and use the parabolic method to search the optimum value of the control parameter p.

Research paper thumbnail of Analysis of energy efficiency of small cell base station in 4G/5G networks

Telecommunication Systems

Research paper thumbnail of A single server queue under random vacation policy

RAIRO - Operations Research, Sep 10, 2019

This paper deals with an M/G/1 queueing system with random vacation policy, in which the server t... more This paper deals with an M/G/1 queueing system with random vacation policy, in which the server takes the maximum number of random vacations till it finds minimum one message (customer) waiting in a queue at a vacation completion epoch. If no arrival occurs after completing maximum number of random vacations, the server stays dormant in the system and waits for the upcoming arrival. Here, we obtain steady state queue size distribution at an idle period completion epoch and service completion epoch. We also obtain the steady state system size probabilities and system state probabilities. Some significant measures such as a mean number of customers served during the busy period, Laplace-Stieltjes transform of unfinished work and its corresponding mean value and second moment have been obtained for the system. A cost optimal policy have been developed in terms of the average cost function to determine a locally optimal random vacation policy at a lower cost. Finally, we present various numerical results for the above system performance measures.