Anirudh Agarwal
The LNM Institute of Information Technology, Indian Institute of Information Technology Kota, LNM Institute of Information Technology
About
Dr. Agarwal received the Ph.D. as a part of a multi-institutional project on, "Mobile Broadband Service Support Over Cognitive Radio Networks", MeitY, GoI, in association with LNMIIT, Jaipur, where he is currently working as an Assistant Professor in the Dept. of ECE. He has published several papers in refereed journals and recognized conferences. Dr. Agarwal is the reviewer of various peer-reviewed journals, viz. IEEE TCOM, IEEE TCCN, IEEE WCL, IEEE Access, etc. His research interests include mobile and wireless communication systems, with emphasis on applied machine learning and optimization techniques in resource allocation, UAV communication and wireless power transfer.
Employment
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The LNM Institute of Information Technology Assistant Professor2019 - Present
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Indian Institute of Information Technology Kota Assistant Professor2019 - 2019
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LNM Institute of Information Technology Project Associate2018 - 2018
Education
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LNM Institute of Information Technology Ph.D.2014 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (29)
- A review on green communication for wearable and implantable wireless body area networks Save
- Performance Analysis and Learning-Assisted Power Control for NOMA Enabled D2D-Cellular Network Save
- Optimal Capacitance Design for IRS Aided Wireless Power Transfer for Sustainable IoT Communication Save
- Intelligent Channel Learning Exploiting Practical Energy Harvesting for Wireless MISO Systems Save
- Power controlled outage-aware optimal protocol for NOMA-assisted underlay D2D networks Save
- A novel multi‐hop routing structure for throughput maximization in unmanned aerial vehicle assisted flying ad‐hoc networks Save
- Power-efficient Joint Link Selection and Multihop Routing for Throughput Maximization in UAV Assisted FANETs Save
- Outage probability minimization based power control and channel allocation in underlay D2D‐NOMA for IoT networks Save
- GITz: Graphene-assisted IRS Design for THz Communication Save
- Circuit Characterization of IRS to Control Beamforming Design for Efficient Wireless Communication Save