Deep space network scheduling using quantum annealing

A Guillaume, EY Goh, MD Johnston… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The National Aeronautics and Space Administration's (NASA) Deep Space Network (DSN)
is responsible for communication and navigation for several NASA and international …

A simulation framework for telescope array and its application in distributed reinforcement learning-based scheduling of telescope arrays

P Jia, Q Jia, T Jiang, Z Yang - Astronomy and Computing, 2023 - Elsevier
Time-domain astronomy necessitates continuous observation of celestial objects across the
entire sky, with specific observation depth and cadence requirements. Telescope arrays …

Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming

T Claudet, R Alimo, E Goh, MD Johnston… - IEEE …, 2022 - ieeexplore.ieee.org
This paper introduces-MILP, a powerful variant of the mixed-integer linear programming
(MILP) optimization framework to solve NASA's Deep Space Network (DSN) scheduling …

SatNet: A benchmark for satellite scheduling optimization

E Goh, HS Venkataram, B Balaji, BD Wilson… - AAAI-22 Workshop on …, 2021 - openreview.net
Satellites provide essential services such as networking and weather tracking, and the
number of satellites are expected to grow rapidly in the coming years. Communications with …

[PDF][PDF] Conflict-and Fairness-Directed Heuristic Search Scheduling for NASA's Oversubscribed Deep Space Network

MD Johnston - 2022 - hsi-workshop.github.io
This paper describes a comparison of search methods applied to the same problem of
scheduling activities for NASA's Deep Space Network (DSN). The DSN consists of large (34 …

[PDF][PDF] Mixed-Integer Linear Programming

T CLAUDET, R ALIMO, E GOH, MD JOHNSTON - researchgate.net
This paper introduces-MILP, a powerful variant of the mixed-integer linear programming
(MILP) optimization framework to solve NASA's Deep Space Network (DSN) scheduling …