Quantum Communication
Quantum information representation, noisy quantum channels, QKD, repeaters and networks, error correction, and hybrid quantum-safe security.
- Information
- Channels
- QKD
- Repeaters & PQC
Wireless communication · Mathematics and simulation
Exploring wireless communication and emerging 6G technologies
My research interests span wireless communication, integrated sensing and communication, non-terrestrial and satellite networks, optical and quantum communication, and AI/ML for wireless systems. I enjoy understanding the mathematics behind communication technologies and am open to doctoral research across these connected fields. My M.Tech thesis provides a foundation in analytical modeling and simulation; these pages describe the areas I am exploring and my preparation for further research.
Demonstrated foundation
Analytical wireless modeling, multi-user NOMA, SIC, BER and throughput analysis, and simulation-based validation
Research interests
ISAC, NTN and satellite networks, optical and quantum communication, quantum-safe security, AI/ML for wireless, and emerging 6G technologies
Research interests and learning roadmaps
Connected areas of future communication research
Each track introduces an area I am interested in, the concepts I want to understand, and resources for further study. Together they reflect the breadth of my doctoral research interests.
Integrated Sensing and Communication
Joint waveform and beamforming design, detection and estimation, sensing–communication tradeoffs, and system-level evaluation.
- Waveforms
- Estimation
- Beamforming
- Tradeoffs
NTN & Satellite Communication
Ground–air–space connectivity, time-varying satellite links, NR-NTN architecture, multibeam systems, mobility, and resource management.
- LEO systems
- Link budgets
- Doppler
- Mobility
Optical Communication
Fiber and free-space optical systems, coherent transceivers, photodetection, channel impairments, and receiver-side digital signal processing.
- Fiber
- Free space
- Coherent DSP
- BER
Integrating perspective
Explore the wider 6G landscape
Emerging 6G & Next-Generation Wireless Technologies
A systems view of IMT-2030 that connects advanced radio, AI/ML for wireless, sensing, ubiquitous connectivity, security, sustainability, and heterogeneous networks.
How I learn
A mathematics-first study process
I use the same analytical habits developed during my M.Tech thesis to approach unfamiliar communication systems systematically.
Build the mathematical language
Start with the linear algebra, probability, signal models, estimation theory, information measures, and optimization needed to read the field rigorously.
Triangulate credible sources
Use open graduate texts, foundational papers and reviews, standards documents, university courses, and official educational lectures.
Reconstruct analytical models
Work through assumptions, derivations, performance metrics, and limiting cases rather than learning only through high-level summaries.
Translate theory into experiments
Use MATLAB or Python to reproduce representative behavior, compare analysis with Monte Carlo results, and understand model assumptions and limitations.
Research integrity note
These pages describe research interests, ongoing preparation, and learning roadmaps. They do not claim publications, completed projects, or established expertise in ISAC, NTN, optical or quantum communication, AI/ML for wireless, or other emerging 6G areas. Completed work is identified separately in my research portfolio and CV.