5g-advanced

MOVED to https://github.com/core5gaBssOss/core5gaBssOss (this copy is an archive)

LEO non-terrestrial network Doppler, delay and GNSS pre-compensation analysis, validated against 3GPP TR 38.821

Integrated sensing and communication: OFDM radar on a comms grid with range-Doppler processing and 2-D CA-CFAR detection

OFDM numerology and frame-structure explorer for NR and 6G: TS 38.211 timing, CP/Doppler/RB feasibility and latency

Learned CSI feedback compression vs. NR Type-I/Type-II codebooks: SGCS, payload trade-off and cross-site generalization (3GPP Rel-18 to Rel-20)

Ambient IoT backscatter PHY and link budget: Manchester-OOK BER, CRC framing, powering vs. backscatter range (3GPP Rel-19/20)

6G FR3 (7-24 GHz) link budget and coverage vs. FR1/FR2 using 3GPP TR 38.901 UMa/UMi path loss and O2I loss

This study presents a system-level analysis of a hybrid terrestrial–NTN cellular architecture aligned with 5G Standalone (SA) and future 6G design principles. The objective is to evaluate how LEO, MEO, and GEO satellite systems can complement terrestrial cellular networks from an operator perspective.

AI-Boosted 5G-Advanced Core, BSS and OSS: a spec-traceable 3GPP Release 19 5G core, charging (CHF) and TM Forum BSS in C++20/23. Built by AI. Built for AI. Bound by the spec.