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20 results for “Starlink”

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eess.SPeess.SYEmpiricalRecentJun 9, 2026

Fundamentals of NOMA in Low-Earth Orbit Coordinated Multi-Satellite Networks

Xiangyu Li, Bodong Shang, Junchao Ma, Qingqing Wu +2 more

This paper investigates the downlink performance of CoMS-NOMA networks from a system-level perspective.

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cs.NIEmpiricalRecentJul 8, 2026

Unveiling TCP BBR Dominance in Starlink Internet: Experimental Insights and Analysis

Rakshitha De Silva, Shiva Raj Pokhrel, Jonathan Kua

This paper compares Google's BBR-v3 Congestion Control Algorithm to eight others over SpaceX's Starlink network, demonstrating its fairness and throughput maximization in high-latency, variable satell…

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cs.LGcs.NIEmpiricalRecentJun 28, 2026

Deciphering Region-Level Signatures from Latency Measurements in LEO Satellite Internet

Xiang Shi, Yifei Zhang, Peng Hu

This paper proposes a hierarchical analytical framework to characterize region-level latency differences in Low-Earth orbit satellite Internet using Starlink RTT measurements.

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cs.CRRecentJun 3, 2026

CLIF: Cross-layer LEO-ISL Fingerprinting for Physical and Network Attack Detection in Dense LEO Constellations

Varun Kohli, Arijit Bhattacharjee, Samar Shailendra, Biplab Sikdar

The paper proposes a cross-layer behavioral fingerprinting framework that fuses physical and network data to detect comprehensive attacks in dense LEO satellite constellations, achieving high detectio…

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cs.NIcs.DCEmpiricalRecentJun 12, 2026

Selective Field Transmission: Bandwidth Efficient Communication under Standardized Message Schemas

David Philipp Klüner, David Murach, Stefan Kowalewski, Alexandru Kampmann

This paper introduces Selective Field Transmission (SFT), a mechanism that dynamically adapts transmitted message components to each receiver's needs in publish-subscribe systems, achieving significan…

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eess.SPcs.AIcs.NIRecentMay 29, 2026

Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding

Ruiqi Kong, He Chen, Xiaojun Lin

The paper proposes GUIDE, a physics-guided deep unfolding framework that enables practical, real-time cross-band channel prediction for AI-RAN by embedding wireless channel physics, significantly impr…

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eess.SPTheoreticalRecentJun 18, 2026

Reliable ORIS-assisted FSO Communications via HARQ

Georgios D. Chondrogiannis, Athanasios P. Chrysologou, Vasilis K. Papanikolaou, Alexandros-Apostolos A. Boulogeorgos +2 more

This paper proposes an FSO link with ORIS and HARQ for reliable data transmission, deriving statistical models, outage probability expressions, and delay characterization.

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cs.CRcs.ETRecentMay 7, 2026

Toward Space-Based Public Key Systems: Enabling Secure Space Communications through In-Orbit Trust Services

Rehana Yasmin, Paulo Esteves-Verissimo, Ali Shoker

This paper proposes and analyzes architectural designs for space-based Public Key Infrastructure (PKI) to enable secure, low-latency authentication and trust services for rapidly expanding satellite c…

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cs.CRcs.AIRecentApr 8, 2026

Validated Intent Compilation for Constrained Routing in LEO Mega-Constellations

Yuanhang Li

The paper presents an end-to-end system that translates high-level operator intents into low-level, safe routing constraints for LEO mega-constellations, achieving high accuracy and safety guarantees.

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cs.ITEmpiricalRecentJul 22, 2026

Spatial Semantic Communication: When Semantic Transmission Meets Index Modulation

Xinghao Guo, Yin Xu, Dazhi He, Hanjiang Hong +4 more

This paper proposes a spatial semantic communication (SSC) system using fluid antenna-index modulation (FA-IM) technology, which synergizes residual quantization (RQ) and IM for efficient semantic tra…

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cs.CRcs.AIcs.DCRecentMay 31, 2026

memorywire: A Vendor-Neutral Wire Format for Agent Memory Operations

Thamilvendhan Munirathinam

The paper introduces memorywire, a vendor-neutral JSON-Schema 2020-12 wire format and reference implementation to standardize and govern agent memory operations across diverse, proprietary agent-memor…

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cs.DCcs.AIEmpiricalRecentJul 15, 2026

The Cost and Network Limits of Space-Based AI Compute

Kees van Berkel

This paper evaluates the feasibility and cost-effectiveness of large-scale AI data centers in low-Earth orbit (LEO) versus terrestrial facilities, considering factors like launch cost, power generatio…

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cs.ROcs.DCcs.NISurveyComprehensiveRecentJul 1, 2026

The Three Dimensions of ROS 2 Middleware

Sanghoon Lee, Taehun Kim, Angelo Corsaro, Kyung-Joon Park

This paper provides a systematic survey of ROS 2 middleware and identifies architectural limits through three dimensions: Space, Time, and State.

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