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// who

A physical layer engineer working at the intersection of 5G/6G systems, machine learning, and quantum communications. This site is a knowledge base — a place to document technical understanding, publish whitepapers, and share interactive notebooks on PHY layer topics.

The focus is depth. Not tutorials for beginners, not shallow overviews — but first-principles technical material for engineers who want to understand how the physical layer actually works.

// what this covers

5G NR PHY Layer O-RAN / xRAN PRACH & RACH Beamforming / BFW MIMO & Massive MIMO ML for Channel Estimation Neural Receivers Quantum Communications QKD NTN / Satellite PHY ISAC / DFRC 6G Architecture Quantum ML

// technical stack

PHY / Signal
5G NR
O-RAN CUS
OFDM / OTFS
MIMO
PRACH
ML / AI
Deep Learning
Neural Receivers
RL for Beams
QML
LLM for L1
Tools
MATLAB
Python
Wireshark / tshark
Linux
O-RAN PCAP

// why entangledphy

Entanglement — a quantum phenomenon where two particles remain correlated regardless of distance — is a fitting metaphor for the convergence happening in wireless: PHY layer engineering, machine learning, and quantum communications are no longer separate disciplines. They are entangled.

This site exists to document that intersection.