Systems & Networks · Computer Science & AI
Networking & Internet
The newest papers in Networking & Internet that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
248 papers, from 31 August 2026 to 5 November 2026: 208 arXiv preprints and 40 OpenAlex records.
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Newest papers, page 5
Atmospheric channel model for QKD over satellite megaconstellations
Atmospheric turbulence and channel loss represent the primary limiting factors in ground-to-satellite quantum communication systems, yet their joint impact remains insufficiently characterized…Unsupervised Head Network Personalization for Split Computing via Federated Learning
Split Computing (SC) is a distributed inference method designed for balancing computational load and reducing latency by partitioning a neural network into head and tail networks and deploying them…Entanglement Distribution in Quantum Switch Networks: Memory Limits and Achievability
We study the minimum persistent memory required to distribute a graph state through a quantum switch.Agent AI Zarządzający Siecią Open RAN Zorientowana na Użytkownika
Jednym z najważniejszych wyzwań związanych z implementacją sieci Open RAN o architekturze zorientowanej na użytkownika jest odpowiednie formowanie tzw. klastrów obsługujących.A Dual-Uplink Dual-Satellite Architecture for Entanglement Distribution
Satellite-based quantum links are a promising enabler of long-distance entanglement distribution, overcoming the exponential losses of optical fibers.K-AoI: A Spatio-Temporal Synchronization Metric for Digital Twin-based Teleoperation in Dynamic Network Environments
Synchronization between a digital twin (DT) and its physical robot is critical for effective teleoperation, as mismatches directly degrade operator awareness and task performance.Robust Lightweight IoT Device Fingerprinting Under Network Traffic Anomalies
Accurate IoT device identification is essential for network security, yet many existing approaches rely on payload inspection, feature engineering, or long observation windows that limit scalability…Blackbox Performance Analysis of LLM-based Network Control
LLMs are becoming an indispensable part of network control systems due to their impressive reasoning.Lightweight Machine Learning for Classifying Disaster-Related Social Media Posts
Classifying disaster-related social-media posts into humanitarian information labels is challenging because individual messages are typically short and context-limited, humanitarian categories can…Preventing Data Hallucinations in Agentic AI for Optical Network Troubleshooting
An agentic AI system for automated troubleshooting in optical communication networks is demonstrated that integrates data references into the agent architecture to prevent data hallucinations…Quality-of-Transmission Estimation in Quantum Networks: Compute, Simulate, or Learn?
Future quantum networks will rely on control-plane decisions such as routing, scheduling, entanglement provisioning, purification, and memory allocation.LoopHIL: Looping Hardware into LLM-assisted Agents for Wireless Embedded Systems
LLM agents are widely used for software development and debugging, but their adoption in embedded systems, especially for wireless tasks, remains limited.PriorityFEC: Deadline-Aware Streaming FEC for KV-Cache Handoff in Edge Multi-Agent Systems
Multi-agent large language model (LLM) systems are increasingly deployed at the edge to support complex tasks that require collaboration and information exchange among multiple agents.Decoding What iOS Location Services Send to Apple: An LLM Is an Unreliable Analyst but a Useful Toolmaker
Reverse engineering the data formats used by mobile software is skilled and slow, and using AI to assist with it is attractive.Initiating Removal from Operational Symptoms in Federated Vehicular Networks
Connected vehicles train a driving model through federated learning (FL) and drive with it, so a faulty contribution often surfaces only as a delayed symptom on the road.ACE: An AI-Orchestrated Intrusion Detection and Compliance Mapping Engine
This study proposes the Automated Compliance Engine (ACE), an AI-orchestrated framework that links intrusion detection, regulatory control mapping, and automated countermeasure deployment for…Selective Next-Location Prediction with MetaModelSelect: A Lightweight Post-Hoc Confidence Metamodel
Next-location prediction can support proactive mobile-network decisions, but acting on unreliable predictions can waste resources.HankelKANet: Lightweight Path Loss Estimation via Physics-Inspired Hankel Convolution
Accurate path loss (PL) estimation is essential for wireless network planning and optimization.Practical wavelength selection for quantum-augmented networks over shared optical fiber
In a quantum augmented network, sharing optical fiber with classical traffic requires quantum wavelength selection to balance logical fidelity, block acceptance, and classical data reception.CALM-5G: Event-Level Conformal Risk Control for Predictive Service-Assurance Alarms
Predictive service assurance converts forecasts of key performance indicators into alarms, and that conversion decides whether the assurance function is deployable.