Mithra Venkatesan

Work place: Department of Electronics and Telecommunication Engineering, Dr. D.Y. Patil of Institute of Technology, Pune, India



Research Interests: Artificial Intelligence


Associate Professor, Dr. Mithra Venkatesan, Department of Electronics and Telecommunication Engineering, Pune, India.

She has completed her PhD in Savitribai Phule Pune University, Pune in April 2017. She has worked as Visiting Scholar in Georgia Institute of Technology, USA during the period August 2004 to March 2005. Her domain of work was on microminiaturization of RF circuits. Following which she worked as a Lecturer in R.M.K Engineering College, Chennai for one year (2005-2006). Her area of research includes Cognitive Radios, Artificial Intelligence and Edge and Soft Computing. She has over 50 publications in various reputed international journals and conferences. She has 4 patents and 1 copyright on her name. She is approved PG teacher and PhD research guide of SPPU. She is a life member of IETE, IAENG. She has actively participated in various faculty development programmers and STTPS over the years. She has worked as the Principal Investigator for a BCUD Research Grant Project of Pune University for 2 lakhs for the period 2013-15.

Author Articles
Network Traffic Prediction with Reduced Power Consumption towards Green Cellular Networks

By Nilakshee Rajule Mithra Venkatesan Radhika Menon Anju Kulkarni

DOI:, Pub. Date: 8 Dec. 2023

The increased number of cellular network subscribers is giving rise to the network densification in next generation networks further increasing the greenhouse gas emission and the operational cost of network. Such issues have ignited a keen interest in the deployment of energy-efficient communication technologies rather than modifying the infrastructure of cellular networks. In cellular network largest portion of the power is consumed at the Base stations (BSs). Hence application of energy saving techniques at the BS will help reduce the power consumption of the cellular network further enhancing the energy efficiency (EE) of the network. As a result, BS sleep/wake-up techniques may significantly enhance cellular networks' energy efficiency. In the proposed work traffic and interference aware BS sleeping technique is proposed with an aim of reducing the power consumption of network while offering the desired Quality of Service (QoS) to the users. To implement the BS sleep modes in an efficient manner the prediction of network traffic load is carried out for future time slots. The Long Short term Memory model is used for prediction of network traffic load. Simulation results show that the proposed system provides significant reduction in power consumption as compared with the existing techniques while assuring the QoS requirements. With the proposed system the power saving is enhanced by approximately 2% when compared with the existing techniques. His proposed system will help in establishing green communication networks with reduced energy and power consumption.

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Energy Efficient Resource Allocation in 5G RAN Slicing with Grey Wolf Optimization

By Dhanashree Kulkarni Mithra Venkatesan Anju V. Kulkarni

DOI:, Pub. Date: 8 Oct. 2023

The massive connections and the real time control applications have different requirement on delay, energy, rate and reliability of the system. In order to meet the diversified 5G requirements, network slicing technique guarantees on the wide scale applications. In this paper, we have proposed a dynamic resource allocation system with two time scale. The one time scale is used for the resource allocation in the system and the other is used for optimized use of latency and power. Lyapunov drift function is used for the balance between the power consumption and the user satisfaction. Further, Grey Wolf Optimization (GWO) is used for the resource allocation strategy so as to gain the reliability of the system with heterogeneous requirements. The proposed methodology shows the improvement of 27% in user satisfaction and 17.5% in power consumption. The proposed framework can be utilized for the rate as well as latency sensitive applications in 5G.

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