
AI/ML Team at the 5G Testbed, IIT Madras
The AI/ML team is based at the Indigenous 5G Testbed on the campus of the Indian Institute of Technology Madras. The testbed is funded by the Department of Telecommunications (DoT) and the Ministry of Electronics and Information Technology (MeitY).
The 5G Testbed at IIT Madras hosts an end-to-end 5G network deployed on campus. The network consists of several standards-compliant 5G base stations capable of serving 30+ commercial mobile devices. The testbed is co-developed with CEWiT, SAMEER, IIT Bombay, and IIT Kanpur.
Features of the testbed include:
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Data rates close to 1 Gbps
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Support for 100 MHz Bandwidth
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16, 32, and 64 Channel Remote Radio Heads
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FPGA-based PHY Layer Design
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Compliance with 3GPP, ORAN and 5Gi standards
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Millimeter wave operation at 26 GHz under development
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6G Research on AI/ML for the PHY Layer and field-data collection capabilities
The Team

Lab Director
RADHA KRISHNA GANTI received the B.Tech. and M.Tech. degrees in Electrical Engineering from the Indian Institute of Technology Madras, Chennai, India, and a Master’s degree in applied mathematics and a Ph.D. degree in electrical engineering from the University of Notre Dame in 2009. He is a Professor at the Indian Institute of Technology Madras. He is a coauthor of the monograph Interference in Large Wireless Networks (NOW Publishers, 2008). His doctoral work focused on the spatial analysis of interference networks using tools from stochastic geometry. He received the 2014 IEEE Stephen O. Rice Prize, the 2014 IEEE Leonard G. Abraham Prize, and the 2015 IEEE Communications Society Young Author Best Paper Award. He was also awarded the 2016–2017 Institute Research and Development Award (IRDA) by IIT Madras. In 2019, he was awarded the TSDSI Fellow for Technical Excellence in standardisation activities and contribution to the LMLC use case in ITU. He is the Lead PI from IITM involved in the development of 5G base stations for the 5G Testbed Project funded by the Department of Telecommunications, Government of India.

Senior Project Officer
ANIL KUMAR YERRAPRAGADA received the B.E. degree in Electronics and Communication engineering from Manipal University, India, in 2013, the M.S. degree in electrical engineering from the University of Texas at San Antonio (UTSA) in 2015 with specialization in cloud-based software defined radio communications, and the Ph.D. degree from UTSA in 2020. He is currently a Wireless Standards Researcher with the Indian Institute of Technology Madras, Chennai, India, on the indigenous 5G Testbed project funded by the Indian Department of Telecommunications. His research interests include 5G and 6G wireless communications, physical layer security and AI for wireless.

Senior Project Officer
VENKATA SIVA SAI PRASAD received his Master's in Instrumentation Engineering at Anna University (Madras Institute of technology) and Bachelor's degree in Electronics and Communication Engineering at Andhra University (GITAM). He holds a PhD in Electrical Engineering at IIT Madras. His PhD work was about the analysis and design of queue management strategies for the Internet that provide low latency and stability. Post PhD, he worked as an Analytics Research Scientist in Novacis Digital Pvt Ltd. Currently, he is a core member in the 5G Testbed team and represents the 5G Testbed at 3GPP standards meetings. His work at 5G testbed is at the intersection of wireless technology, Artificial Intelligence/Machine Learning and Applied Mathematics.

PhD Scholar
ROHIT SINGH obtained his obtained his B.Tech (2020) in Electronics & Communication Engineering from NIT Agartala, India, and completed his 4th year's course work at IIT Madras under MOU bebetween NITA and IITM. He is currently pursuing a Ph.D. (Electrical Engineering - Communications and Signal Processing) at IIT Madras. His Ph.D. work is funded by the prestigious PMRF (Prime Minister’s Research Fellow) Scheme. His research topic is Machine Learning for the Physical Layer in 5G/B5G. His Research interests are Machine Learning applications for Wireless Communications.

PhD Scholar
Jeeva Keshav S received his B.Tech (2020) in Electronics and Communication Engineering from IIITDM Kancheepuram, India. He is a Prime Minister's Research Fellow (PMRF) pursuing a PhD in Electrical Engineering (Communications and Signal Processing) at IIT Madras. He is leading the FPGA-based software team of the Physical Layer design. His current research is designing Machine Learning models for the Physical Layer in 5G. His research interests are designing architectures for the deployment of ML models for 5G-like networks.

PhD Scholar
Sai Praneeth Kotturi obtained his B. Tech (2020) in Electronics and Communication Engineering from JNTU, Kakinada. He is currently pursuing an integrated Ph.D. (Dept. Of Electrical Engineering - Signal Processing and Communications) at IIT Madras. His Ph.D. work is funded by Ansys through their fellowship program. His research is on Matrix Decomposition techniques and Optimisation algorithms for Fronthaul Compression and Near-Pilotless (Blind) Decoding. He is also the lead of the Open Radio Access Network Fronthaul (ORAN - FH) team in the 5G Testbed lab at IITM. His research interests are in Wireless Communications, 5G/B5G/6G, Linear Algebra and AI/ML.

PhD Scholar
Sai Prasanth Kotturi earned his B.Tech degree in Electronics and Communication Engineering from JNTU, Kakinada, in 2018. Currently, he is enrolled in an integrated Ph.D. program at IIT Madras, specializing in Electrical Engineering with a focus on Signal Processing and Communications. His research is dedicated to enhancing user positioning accuracy through the application of deep learning techniques. Additionally, Sai Prasanth leads the split-6 interface, which is the Femto Application Programming Interfacing (FAPI) team at the 5G Testbed lab in IITM. His research interests encompass Artificial Intelligence/Machine Learning, Deep Learning, Signal Processing, and Wireless Communications.