ConSim: a constellation simulator for secure & resilient networks

Rising demand for high throughput, low latency and secure connectivity for governmental and military communications is accelerating the adoption of non-geostationary satellite constellations. Designing and optimising such secure, resilient systems requires a complex architecture with specific security constraints, such as restricted routing and peer-to-peer com- munication. To address these challenges, we present ConSim: a simulation platform for mega constellations of thousands of multi-shell, multi-beam satellites. ConSim combines 3D orbital simulations with interference and jamming aware link-budget calculations to derive per-link capacities. These capacities are matched to user demands which are characterised by service profiles, requirements and security restrictions, within a capacitated network flow graph linking users, satellites and gateways. ConSim uses a modified version of Dinic’s algorithm to identify the specific allowable routes for each user’s demand and to calculate the usable capacity of the network. As satellite locations and ground connectivity evolve, the system adapts routes and operational settings to optimise performance over time and to capture statistical variation and long-term behaviour. Examples demonstrate ConSim’s capabilities such as link capacity supply derivation, user demand matching and network design, to reveal insights into the analytical methods and results.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-12-01
DOI
https://doi.org/10.1049/icp.2025.4055
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

ConSim: a constellation simulator for secure & resilient networks

Frank Mayer, Florian Leschka, Ilgaz Onur Taş
IET conference proceedings.
Satellite Communication Systems
article

ConSim: a constellation simulator for secure & resilient networks

Frank Mayer, Florian Leschka, Ilgaz Onur Taş
article en

Abstract

Rising demand for high throughput, low latency and secure connectivity for governmental and military communications is accelerating the adoption of non-geostationary satellite constellations. Designing and optimising such secure, resilient systems requires a complex architecture with specific security constraints, such as restricted routing and peer-to-peer com- munication. To address these challenges, we present ConSim: a simulation platform for mega constellations of thousands of multi-shell, multi-beam satellites. ConSim combines 3D orbital simulations with interference and jamming aware link-budget calculations to derive per-link capacities. These capacities are matched to user demands which are characterised by service profiles, requirements and security restrictions, within a capacitated network flow graph linking users, satellites and gateways. ConSim uses a modified version of Dinic’s algorithm to identify the specific allowable routes for each user’s demand and to calculate the usable capacity of the network. As satellite locations and ground connectivity evolve, the system adapts routes and operational settings to optimise performance over time and to capture statistical variation and long-term behaviour. Examples demonstrate ConSim’s capabilities such as link capacity supply derivation, user demand matching and network design, to reveal insights into the analytical methods and results.

IET conference proceedings.Vol. 2025(31)
Fraunhofer Institute for Integrated Circuits (DE)
Openalex Percentile: Top 50%
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.