AIXhaul aplica aprendizado por reforço profundo para otimizar fluxos Xhaul híbridos satélite-terra.
AIXhaul Deep Reinforcement Learning Cross-Domain Routing Pipeline
Continuous closed-loop telemetry feedback tuning physical RF beams and optical crosslinks
Central System: Network Telemetry Collector - Samples SNR, packet loss, and buffer occupancy at 1 kHz
Network Nodes
- Network Telemetry Collector
- Deep Q-Network / PPO Agent
- Neural Beamforming Controller
- P4 Programmable Hardware Switch
Architectural Protocol Layers
- Spaceborne PHY/MAC Layer (3GPP Rel-17 TS 38.300): Doppler compensation, HARQ disabling, and timing advance extension.
- Orbital Mesh Routing (CCSDS / Delay-Tolerant Networking): Dynamic topology routing over intermittent laser crosslinks.
- Regenerative Core Processing (OpenRAN / 3GPP CU-DU Split): Onboard user plane function (UPF) local breakout.
Key Metrics: < 18ms (LEO Orbit-to-Ground Roundtrip) | 100 Gbps (Optical Crosslink Throughput) | ±48 kHz (Doppler Shift Compensation) | 99.999% (Orbital Constellation Availability)