Juan A. Fraire

Researcher in Space Networking and Informatics

Inria CONICET Saarland University

Publications Conference paper · Delay-tolerant networks · 2025

Performance Comparison of DTN-Inspired Approaches for Store-and-Forward NTNs

Oriol Fusté, Juan A. Fraire, Anna Calveras, and Joan A. Ruiz-de-Azua

International Astronautical Congress (IAC), Space Communications and Navigation Symposium, pp. 481–491, 2025

Publisher’s version

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Abstract

3GPP is actively exploring massive Machine-Type Communications (mMTC), one of the three core 5G services areas, to enable services for large amounts of Internet of Things (IoT) terminals that generate regular small-payload messages. Covering this type of applications involve dealing with high density of terminals, which also require resource efficiency for long battery lifes. Expanding global coverage to remote and underserved areas is a crucial step towards the mMTC vision due to the multitude of remote IoT use cases that are uncovered by existing infrastructure. To achieve this efficiently, one approach is to use satellites to provide global coverage, standardized as Non-Terrestrial Networks (NTN). In addition, advancements in Low-Power Wide-Area Network technologies, such as NB-IoT, play a crucial role in enabling efficient direct-to-satellite communications. Among NTN architectures, small and sparse networks of Low Earth Orbit satellites are a cost-effective alternative to large mega-constellations, but require the support of a Store-and-Forward (S&F) architecture and a regenerative payload approach on-board the satellites to overcome the link discontinuities. This need is recognized by 3GPP and is an active discussion topic in Release 19 known as S&F NTNs. Current solution proposals primarily focus on high-level architectural frameworks, leaving the concrete enabling technologies for S&F NTNs largely undefined. Delay/Disruption-Tolerant Networking is a well-established approach for challenged networks, but its integration into 3GPP systems presents challenges. In this work, we explore the options available to deploy an interoperable S&F solution, and evaluate them in a testbed featuring the payload twin of a S&F NTN mission and discuss the results and their conclusions on candidate technologies for enabling S&F NTNs.

Cite

DOI 10.52202/083082-0057

BibTeX
@inproceedings{fuste2025performance,
  author    = {Fust{\'e}, Oriol and Fraire, Juan A. and Calveras, Anna and Ruiz-de-Azua, Joan A.},
  title     = {Performance Comparison of {DTN}-Inspired Approaches for Store-and-Forward {NTNs}},
  booktitle = {International Astronautical Congress (IAC), Space Communications and Navigation Symposium},
  pages     = {481--491},
  publisher = {IAF},
  year      = {2025},
  doi       = {10.52202/083082-0057}
}

More on delay-tolerant networks

  1. Comparing Statistical, Analytical, and Learning-Based Routing Approaches for Delay-Tolerant Networks Pedro R. D'Argenio, Juan A. Fraire, Arnd Hartmanns, and Fernando D. Raverta ACM Transactions on Modeling and Computer Simulation, 2025
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    In delay-tolerant networks (DTNs) with uncertain contact plans, the communication episodes and their reliabilities are known a priori . To maximise the end-to-end delivery probability, a bounded network-wide number of message copies are allowed. The resulting multi-copy routing optimization problem is naturally modelled as a Markov decision process with distributed information. In this paper, we provide an in-depth comparison of three solution approaches: statistical model checking with scheduler sampling, the analytical RUCoP algorithm based on probabilistic model checking, and an implementation of concurrent Q-learning. We use an extensive benchmark set comprising random networks, scalable binomial topologies, and realistic ring-road low Earth orbit satellite networks. We evaluate the obtained message delivery probabilities as well as the computational effort. Our results show that all three approaches are suitable tools for obtaining reliable routes in DTN, and expose a tradeoff between scalability and solution quality.

  2. Autonomous Max-Flow Interplanetary Laser Link Scheduling for Martian Exploration Jason Gerard, Andre Ibrahim, Juan A. Fraire, and Sandra Céspedes IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), 2024
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    New communication technologies like delay and disruption-tolerant networking (DTN) and free-space laser communications are being developed to handle massive planetary telemetry data. However, existing infrastructure cannot meet the scalability and autonomy demands of future space missions, resulting in 95% of data left on the mission planet. Manual scheduling of deep-space laser transmissions by operators is inefficient and error-prone, limiting mission parallelization, while autonomous scheduling, though promising, may limit optimal network routes reducing the network capacity. We hypothesize that autonomously scheduling contact opportunities will enable acquisition, tracking, and pointing (ATP) for free-space lasers and increase the capacity of interplanetary backhaul networks. In this work, we propose the Laser Link Scheduler (LLS), which combines a novel max-flow network capacity model and a decision-making algorithm for contact selection. We define a series of deep-space communication scenarios where data is collected from orbiters around Mars and backhauled to Earth. LLS is evaluated in simulations using contact plans generated based on realistic conditions and orbital dynamics. Our results confirm that autonomous contact scheduling increases network capacity by 1.5-2x, reducing operational costs and enabling highly parallel space exploration missions.

  3. Ring Road Networks: Access for Anyone Marius Feldmann, Juan A. Fraire, Felix Walter, and Scott C. Burleigh IEEE Communications Magazine, 2022
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