Technical Experience

Curriculum Vitae

Link: Sai Prasanth Kothuri CV

Conferences & Workshops

• 3GPP RAN1 #119 meetings in Orlando, USA [Nov 2024]

• 3GPP RAN1 #118 meetings in Maastricht, Netherlands [Aug 2024]

• Poster Presentation in ICMLCN conference in Stockholm, Sweden [May 2024]

• 3GPP RAN1 #114 meetings in Toulouse, France [Aug 2023]

• IEEE Training on Wireless Positioning & Location [Aug 2023]

• 3GPP RAN 1 Release 19 workshop in Taipei, Taiwan [Jun 2023]

• 3GPP RAN1 #113 meetings in Incheon, South Korea [May 2023]

• 3GPP RAN1 #112 meetings in Athens, Greece [Feb 2023]

• Advanced Xilinx Training on Timing, DMA and Tcl Scripting [Dec 2022]

• Attended IEEE ITW (Information Theory Workshop) 2022, Bombay, India [Nov 2022]

PhD Research

• My PhD research revolves around the design and implementation of AI/ML models for User Positioning for 6G cellular networks.

• Actively serving as a 3GPP RAN1 Delegate, representing IITM in standards meetings for 5G and 6G. Contributed to these meetings by submitting the technical documents on AI/ML for positioning.

• Currently working on patenting novel research findings in the AI/ML domain for positioning.

3GPP RAN1 Delegate

• Represent IIT Madras at 5G standards meetings.

• Develop simulations and contribute to AI/ML for presentation in 3GPP meetings. Patent novel findings and protocols on AI/ML for next-generation cellular communications.

5G Testbed (Senior Research Associate)

Current Work:

• Developing  automated scripts using Python-based GUI and bash coding to initiate the complete setup of base stations for 16, 32, and 64-channel systems.

• Creating a database to automatically log multiple UE measurements whenever a UE is connected to the IITM 5G base station for debugging purposes.

• Developing a downlink positioning reference signal for the IITM 5G Testbed.

Past Work:

• Developed and implemented a small-scale L2/L3 system for THz communications systems operating at 140 GHz and 270 GHz.

• Developed and implemented signal-to-noise ratio (SNR) algorithms for adaptive modulation and coding.

• Designed and implemented the Femto Application Programming Interface (FAPI) architecture from scratch for the IITM 5G base stations. These base stations are currently deployed on our campus and are utilized for various applications, including 5G Voice Over NR calls, 5G NR data sessions, IoT devices, and real-time data collection for AI/ML model applications.

• Developed a small-scale Layer 2 (L2) scheduler for 5G base station compliance testing, end-to-end system testing, and module testing, such as RX SNR estimation performance testing, PRACH performance testing, and PUCCH performance testing.