From Waveforms to AI: Simulating 6G Before It Exists
Webinars
6G standardization is accelerating: 3GPP RAN1 is actively evaluating candidate waveforms, new duplexing schemes, and advanced channel coding proposals, with each organization running proprietary simulators under subtly different assumptions. This makes direct comparison of results nearly impossible, and the gap between academic simulation and production-ready design continues to widen.
Waveform Design — How do the leading FDSS, zero-tail, spectrum-overlap, and I/Q-offset proposals actually compare under identical, 3GPP-agreed evaluation conditions? We run them head-to-head with real PA models from RAN4 device measurements and show the PAPR–spectral efficiency tradeoffs that matter.
Channel Coding — LDPC and Polar codes for 6G: what changes from 5G NR, and how do emerging SC-LDPC architectures affect throughput at the link level?
Subband Full Duplex (SBFD) — We simulate SBFD at both link and system level, showing self-interference impacts and scheduling tradeoffs in realistic multi-cell deployments.
AI/ML for the Air Interface — We explore the 3GPP AI/ML study items gaining the most traction: ML-based CSI compression and feedback, AI-driven beam management and beam prediction, and neural network-augmented channel estimation — demonstrating how learned models integrate into a full-stack PHY simulation and where they deliver measurable gains over classical approaches.
Whether you’re a 3GPP delegate evaluating proposals, a researcher publishing on 6G PHY, or an engineer bridging simulation to hardware — this session shows what a standards-grade simulation platform makes possible.
