R. Arya

Work place: Wireless Sensor Networks Lab, Department of Electronics and Communication Engineering, National Institute of Technology Patna, Patna, Bihar, 800005, India

E-mail: rajeev.arya@nitp.ac.in


Research Interests: Computational Engineering, Engineering


Rajeev Arya received the Engineering Degree in Electronics & Communication Engineering from Government Engineering College, Ujjain, (RGPV University, Bhopal) India in 2008, and the Master of Technology in Electronics & Communication Engineering from Indian Institute of Technology (ISM), Dhanbad, India in 2012. He received the Ph.D. in Communication Engineering from Indian Institute of Technology (IIT Roorkee), Roorkee, India in 2016. He has received Ministry of Human Resource Development Scholarship (MHRD India) during M.Tech and Ph.D. He is currently an Assistant Professor with the Department of Electronics & Communication Engineering at National Institute of Technology, Patna, India. His current research interests are Communication Systems & Wireless Communication.

Author Articles
Robust Distributed Power Control with Resource Allocation in D2D Communication Network for 5G-IoT Communication System

By K. Pandey R. Arya

DOI: https://doi.org/10.5815/ijcnis.2022.05.06, Pub. Date: 8 Oct. 2022

In the domain of communication technologies, the Device-to-Device (D2D) communication becomes a predominant technology for the implementation of 5G communication system and Internet of Things (IoT) applications. In D2D communication Network, resource allocation and power management are the key areas of interest with ensuring the Quality of Services (QoS). Firstly, we propose the power control problem which is a non-convex problem. By using the log transformation approach, the non-convex problem converts into the convex optimization problem. Robust distributed power control method is further utilized for the power optimization at both ends (base station and D2D user) for underlay Inband D2D communication, where the cellular user and D2D user both use the cellular spectrum. After the power control, resource allocation is done to maximize the energy efficiency by 66.67% for the D2D system. Our proposed work provides new insight to power control techniques in D2D communication. Numerical analysis of the proposed algorithm reflects the impact of robust distributed power control for maintaining the quality of services and enhancing the energy efficiency of the system.

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