Aditya Thakur

6G Control Channel Innovation and Standardization.

• Leading 6G control channel research initiatives, contributing to next-generation wireless technology development, and the 3GPP standardization roadmap.
• Filed a provisional patent on PDCCH blind decoding reduction techniques for 6G devices, demonstrating technical innovation and intellectual property generation.

Signal Processing Algorithm Optimization.

• Engineered a computationally efficient noise variance estimation algorithm, leveraging DMRS structure prior to channel filtering, achieving greater than a 20% reduction in computational resources compared to conventional approaches.

5G/NR Physical Layer Development

• Architected end-to-end downlink chains for PBCH, PDCCH, PDSCH, and CSI-RS, partnering with RF and test teams to validate IQ data across multiple scenarios.
• Created a custom MATLAB utility for polar-plot visualization of beamformed signals, removing external dependencies, and cutting tool costs.
• Optimized fixed-point implementations to deliver real-time performance, and engineered modulation compression/decompression at the DU-RU interface to boost throughput.
• Devised a novel mapping scheme that transmits 32 CSI-RS ports over just 8 DU-RU ports, achieving 75% resource savings.
• Filed a patent for an LS channel-estimation method under high delay-spread conditions, demonstrating a 1.5–2 dB MSE improvement at 10 dB SNR for 1 µs spreads.

Advanced MIMO & Beamforming

• Implemented diverse beamforming architectures—including non-codebook and codebook-based (Type-1 single panel, Type-2, enhanced Type-2, port-selection)—within 5G NR systems.
• Established Git-based release processes and authored detailed technical documentation to ensure maintainability and seamless team adoption.

3GPP Standardization & System-Level Simulation

• Developed and calibrated a 128T×128R link-level simulation framework, publishing results for Type-1 beamforming, and influencing 3GPP NR-MIMO Phase 1/2 standards.
• Extended MATLAB system-level simulation from 32T × 32R to 128T × 128R, delivering comprehensive performance analyses.
• Resolved critical SLS bugs in collaboration with MathWorks, enhancing algorithm robustness and speed.
• Published patent-worthy research on Rank-3/4 beamforming for massive MIMO, and mentored colleagues on SLS MATLAB methodologies to drive standardization efforts.

PUCCH Development and Framework Engineering

• Designed and implemented MATLAB Tx-Rx frameworks for PUCCH formats 0–4, enabling end-to-end validation and feature integration.
• Introduced novel SNR and channel estimation algorithms for Format-4, achieving comparable performance under delay spreads of less than 500 ns.
• Collaborated cross-functionally to validate IQ bins, ensure radio conformance, and incorporate new features into the PUCCH framework.
• Managed Git releases and documentation, providing PUCCH frameworks to downstream teams.

SRS Optimum Cyclic Shift Selection

• Built utilities for optimized multi-UE SRS cyclic-shift selection, eliminating channel estimation errors.