Designing a Satellite Serviced Quantum Network Backbone for Concurrent Global Connectivity
- URL: http://arxiv.org/abs/2605.02164v1
- Date: Mon, 04 May 2026 02:46:00 GMT
- Title: Designing a Satellite Serviced Quantum Network Backbone for Concurrent Global Connectivity
- Abstract summary: We investigate the design of a satellite-serviced quantum backbone to support concurrent global connectivity.<n>Across a broad parameter sweep, we identify three dominant architectural effects.<n>Satellite altitude is the dominant physical lever shaping the visibility--loss trade-off.
- Score: 7.361560721370597
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Satellite-serviced quantum networks pose an architectural problem distinct from classical satellite networking: because entanglement cannot be copied, and long-lived buffering is technologically constrained for near-term devices, useful end-to-end service requires fixed optical ground infrastructure and simultaneous multi-hop path availability. We investigate the design of a satellite-serviced quantum backbone aimed at supporting concurrent global connectivity across a traffic matrix of major population and financial centers under finite waiting-time constraints. Using a discrete-time simulator, we evaluate performance using two architecture-level metrics: (i) time-to-connectivity, and (ii) latency-conditioned average active-link strength. Across a broad parameter sweep, we identify three dominant architectural effects. First, anisotropic ground-station lattices reduce time-to-connectivity relative to longitudinally collapsed and isotropic baselines by aligning ground infrastructure with latitude-dependent satellite access. Second, multi-inclination LEO constellations reduce waiting times for strong connectivity compared to single-inclination constellations at fixed satellite budgets by providing additional visibility for a diverse latitude set. Third, multi-party satellite service policies alleviate per-satellite concurrency bottlenecks and substantially reduce time-to-connectivity at stringent traffic-matrix thresholds. We further show that satellite altitude is the dominant physical lever shaping the visibility--loss trade-off, strongly affecting both connectivity latency and achievable link strength, while orbital plane count and satellite packing provide secondary refinements at fixed altitude. Together, these results delineate the architectural conditions required for scalable, concurrent entanglement connectivity in satellite-serviced quantum networks.
Related papers
- Space Network of Experts: Architecture and Expert Placement [53.89437186709926]
Space data centers are envisioned as a promising platform for executing energy-intensive large language models (LLMs)<n>One key challenge, however, is the efficient distributed deployment of a large-scale LLM in a satellite network.<n>We present the Space Network of Experts (Space-XNet) framework targeting the distributed execution of a popular mixture-of-experts (MoE) model in space.
arXiv Detail & Related papers (2026-05-01T08:40:31Z) - Markov Chain Model of Entanglement Setup in Noisy Dynamic LEO Satellite Networks [4.736563450033072]
This paper presents a comprehensive Markov chain model with a state space defined by link storage age and physical distance.<n>We derive analytical expressions for key performance metrics, including request satisfaction rate, average waiting time, link utilization efficiency, and average consumed link fidelity.<n>This work provides theoretical foundations for designing and optimizing quantum entanglement distribution strategies in satellite networks, with applications to global-scale quantum communications.
arXiv Detail & Related papers (2025-12-23T04:46:40Z) - Scheduling in Quantum Satellite Networks: Fairness and Performance Optimization [12.821638922479899]
Quantum satellite networks offer a promising solution for achieving long-distance quantum communication.<n>This work formulates and solves the quantum satellite network scheduling problem by optimizing satellite-to-ground station pair assignments.<n>Our framework accounts for limited satellite and ground station resources, fairness, entanglement fidelity thresholds, and real world non-idealities.
arXiv Detail & Related papers (2025-12-08T02:44:14Z) - Joint AoI and Handover Optimization in Space-Air-Ground Integrated Network [48.485907216785904]
Low Earth orbit (LEO) satellite constellations offer promising solutions with global coverage and reduced latency.<n>Yet struggle with intermittent coverage and intermittent communication windows due to orbital dynamics.<n>Our three-layer design employs hybrid free-space optical (FSO) links for high-capacity satellite-to-ground communication and reliable radio frequency (RF) links for HAP-to-ground transmission.
arXiv Detail & Related papers (2025-09-16T06:16:56Z) - SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework [19.59862482196897]
We propose SatFed, a resource-efficient satellite-assisted heterogeneous FL framework.
SatFed implements freshness-based model prioritization queues to optimize the use of highly constrained satellite-ground bandwidth.
Experiments with real-world LEO satellite networks demonstrate that SatFed achieves superior performance and robustness compared to state-of-the-art benchmarks.
arXiv Detail & Related papers (2024-09-20T13:44:00Z) - A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode [53.71516191515285]
The low transmission efficiency of the satellite data relay back mission has become a problem that is currently constraining the construction of the system.
We propose a distance similarity-based genetic optimization algorithm (DSGA), which considers the state characteristics between the tasks and introduces a weighted Euclidean distance method to determine the similarity between the tasks.
arXiv Detail & Related papers (2024-08-29T06:57:45Z) - A reconfigurable entanglement distribution network suitable for connecting multiple ground nodes with a satellite [0.0]
In a brief satellite pass, the ground network is configured as a multipoint-to-point topology where all ground nodes establish entanglement with a satellite receiver.
During times when this satellite is not available, the satellite up-link is rerouted via a single optical switch to the ground nodes.
We numerically simulate a pulsed hyper-entangled photon source and study the performance of the proposed network configurations for quantum key distribution.
arXiv Detail & Related papers (2024-06-20T01:16:23Z) - Satellite Federated Edge Learning: Architecture Design and Convergence Analysis [47.057886812985984]
This paper introduces a novel FEEL algorithm, named FEDMEGA, tailored to mega-constellation networks.
By integrating inter-satellite links (ISL) for intra-orbit model aggregation, the proposed algorithm significantly reduces the usage of low data rate and intermittent GSL.
Our proposed method includes a ring all-reduce based intra-orbit aggregation mechanism, coupled with a network flow-based transmission scheme for global model aggregation.
arXiv Detail & Related papers (2024-04-02T11:59:58Z) - Deep Learning Aided Routing for Space-Air-Ground Integrated Networks
Relying on Real Satellite, Flight, and Shipping Data [79.96177511319713]
Current maritime communications mainly rely on satellites having meager transmission resources, hence suffering from poorer performance than modern terrestrial wireless networks.
With the growth of transcontinental air traffic, the promising concept of aeronautical ad hoc networking relying on commercial passenger airplanes is potentially capable of enhancing satellite-based maritime communications via air-to-ground and multi-hop air-to-air links.
We propose space-air-ground integrated networks (SAGINs) for supporting ubiquitous maritime communications, where the low-earth-orbit satellite constellations, passenger airplanes, terrestrial base stations, ships, respectively, serve as the space-, air-,
arXiv Detail & Related papers (2021-10-28T14:12:10Z) - Integrating LEO Satellite and UAV Relaying via Reinforcement Learning
for Non-Terrestrial Networks [51.05735925326235]
A mega-constellation of low-earth orbit (LEO) satellites has the potential to enable long-range communication with low latency.
We study the problem of forwarding packets between two faraway ground terminals, through an LEO satellite selected from an orbiting constellation.
To maximize the end-to-end data rate, the satellite association and HAP location should be optimized.
We tackle this problem using deep reinforcement learning (DRL) with a novel action dimension reduction technique.
arXiv Detail & Related papers (2020-05-26T05:39:27Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.