Neuronale Kanalschätzung und KI-beschleunigte V2X-Transceiver

V2AIX nutzt Graph-Transformer zur Vorhersage von Interferenzen und richtet Antennenstrahlen zwischen Fahrzeugen dynamisch aus.

Neuromorphic V2X Processor V2X Architecture

Central Controller: Neuromorphic V2X Processor — Deep Reinforcement Sidelink Core

Cooperative ITS Nodes & Sidelink Mesh

Neural Channel Estimator
Predictive Beamforming NPU
Deep Q-Learning MAC
Ad-Hoc Spectrum Sense
Hardware Cryptographic Root

Vorhersage der Funkphysik mit On-Chip-Deep-Learning

Die klassische Pilotsymbol-Kanalschätzung leidet bei Fahrzeuggeschwindigkeiten über 120 km/h unter schneller Doppler-Dispersion. V2AIX trainiert rekurrente neuronale Netze on-chip, um Funkkanalzustände mit 99,4 % Genauigkeit vorherzusagen.

Core Engineering Areas

Neural Network Channel Estimation in High-Doppler Environments — Overcoming severe high-speed multipath fading on modern automotive highways.
Deep Reinforcement Learning for Autonomous Sidelink MAC — Eliminating packet collisions in congested urban vehicle platoons.
Edge AI Beam Tracking for Millimeter and Sub-THz Sidelink — Overcoming the pencil-beam pointing problem without wasting frames on exhaustive sector sweeps.

Technical Articles

Related Cluster Architecture Specifications

AutomotiveV2X — Connected Vehicle-to-Everything & Cooperative ITS Architecture
CellularV2X — 3GPP C-V2X Architecture, PC5 Direct Sidelink & Cellular Uu Infrastructure
NRV2X — 5G NR V2X Sidelink, Sub-Millisecond Latency & High-Rate Sensor Sharing
ISACV2X — Integrated Sensing and Communication (ISAC) for Automotive V2X