Quantum Communication
Quantum information, QKD, physical channels, quantum networking, and the integration of classical and quantum communication infrastructure.
- QKD
- Quantum channels
- QBER
- Quantum networks
Research direction for 6G and beyond
One mathematical foundation, several emerging communication frontiers
I am extending my background in analytical wireless communication toward ISAC, non-terrestrial and satellite networks, optical systems, quantum communication, and the wider 6G research landscape. These pages make that development visible without confusing current study with completed research.
Demonstrated foundation
Analytical wireless modeling, multi-user NOMA, SIC, BER and throughput analysis, and simulation-based validation
Current expansion
Mathematical foundations, specialist literature, standards, and recorded university or professional-society lectures
Dedicated study tracks
Research interests developed with depth and intellectual honesty
Each page records the mathematical concepts, technical systems, and representative sources that guide my learning.
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, sensing, intelligence, 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 graduate textbooks, review and foundational papers, standards documents, and recorded lectures from universities or professional societies.
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 ongoing preparation and the technical material I am studying. They do not claim publications, projects, or established expertise in ISAC, NTN, optical, quantum, or other 6G areas. Completed work is identified separately in my research portfolio and CV.