A Greedy Algorithm for Rocket TT&C Resource Scheduling in Flight-Style Launch Scenarios

In commercial aerospace flight-style launch scenarios, multiple parallel missions impose tight constraints, multiple objectives, and highly dynamic conditions on TT&C (Telemetry, Tracking, and Command) resource scheduling. This paper studies coordinated scheduling of TT&C equipment and sites. First, a multi-objective model is formulated that considers equipment–type matching, time-window constraints, mobile-equipment transfer paths, and coverage requirements. The model enforces coverage thresholds for all mission arc segments, while minimizing (i) the total travel distance of mobile equipment and (ii) the number of mobile units deployed. Second, to obtain high-quality feasible solutions quickly, an improved greedy scheduling algorithm is proposed. The algorithm processes tasks in chronological order and makes locally optimal decisions. It prioritizes fixed equipment and then selects mobile equipment by minimizing transfer distance under time-feasibility constraints. Finally, experiments on simulated scenarios demonstrate the effectiveness of the proposed method. The algorithm produces feasible schedules that satisfy coverage requirements in an extremely short time. It also provides a good initial solution for subsequent refinement, which makes it suitable for dynamic scheduling that requires real-time responsiveness.

Authors

Publication Details

Journal
Astronautics
Published
2026-05-08
DOI
https://doi.org/10.3390/astronautics1020010
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Greedy Algorithm for Rocket TT&C Resource Scheduling in Flight-Style Launch Scenarios

Taibo Li, Hongwei Liu, Lisong Hao
Astronautics
Satellite Communication Systems
article

A Greedy Algorithm for Rocket TT&C Resource Scheduling in Flight-Style Launch Scenarios

Taibo Li, Hongwei Liu, Lisong Hao
article en

Abstract

In commercial aerospace flight-style launch scenarios, multiple parallel missions impose tight constraints, multiple objectives, and highly dynamic conditions on TT&C (Telemetry, Tracking, and Command) resource scheduling. This paper studies coordinated scheduling of TT&C equipment and sites. First, a multi-objective model is formulated that considers equipment–type matching, time-window constraints, mobile-equipment transfer paths, and coverage requirements. The model enforces coverage thresholds for all mission arc segments, while minimizing (i) the total travel distance of mobile equipment and (ii) the number of mobile units deployed. Second, to obtain high-quality feasible solutions quickly, an improved greedy scheduling algorithm is proposed. The algorithm processes tasks in chronological order and makes locally optimal decisions. It prioritizes fixed equipment and then selects mobile equipment by minimizing transfer distance under time-feasibility constraints. Finally, experiments on simulated scenarios demonstrate the effectiveness of the proposed method. The algorithm produces feasible schedules that satisfy coverage requirements in an extremely short time. It also provides a good initial solution for subsequent refinement, which makes it suitable for dynamic scheduling that requires real-time responsiveness.

AstronauticsVol. 1(2)
Openalex Percentile: Top 1%
Satellite Communication Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.