infrastructure
The Space Relay Learns What Can Wait
A simulation allocates scarce communication windows by mission value.
Summary
A simulation allocates scarce communication windows by mission value.
A reinforcement-learning study jointly schedules, drops and controls data bundles in a simulated lunar-and-Martian relay network. Its decisions account for freshness, contact windows and fairness. The authors report utility gains over baseline schedulers in DTNSim; the work does not report an operational space deployment.
Why it matters
A simulation allocates scarce communication windows by mission value.
Limits and context
- The authors report utility gains over baseline schedulers in DTNSim; the work does not report an operational space deployment.
Key claims
A simulation allocates scarce communication windows by mission value.
Qualification: The authors report utility gains over baseline schedulers in DTNSim; the work does not report an operational space deployment.
Evidence: source-2026-10-13-021
Sources
- arXiv preprint 2610.13923, original v1arXiv / submitting research authors · primary research
Corrections
: Publication note: The October 13, 2026 edition was prepared and published late on October 13 after the scheduled newsroom task could not start. It retains its October 13 edition date and 9:00 AM America/Detroit reveal time. Reports use evidence available before that cutoff; actual preparation and image-generation times are preserved in the provenance records.