cs.NI · 2026-08-12 · No. 82

Networking and Internet Architecture, 2026-08-12.

5 new papers in cs.NI. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

5 entries
  1. 01

    A Systematic Sample Size Analysis of ML-Based Path Loss Prediction for LPWAN

    Robert Bitterling, Christian Nettersheim, Jörn Hees, Michael Rademacher

    cs.NI · cs.LG

    Low Power Wide Area Networks like LoRa are increasingly deployed for smart city applications, requiring accurate path loss prediction for effective network planning. Traditional (empirical) propagation models often exhibit limited accuracy in these scenarios. We investigate machine learning models for LoRa path loss prediction, systematically analyzing how prediction accuracy scales with training set size using real-world measurements from an...

    arxiv.org/abs/2608.11083 · PDF

  2. 02

    Conversational Orchestration for Organic 6G

    Masoud Shokrnezhad, Tarik Taleb

    cs.NI · cs.AI · cs.DC · cs.ET · cs.MA

    The Organic 6G vision of a network of networks spanning an edge-cloud continuum complemented by non-terrestrial resources requires, to realize its promise, service provisioning that is simple to operate, scalable across independently administered domains, and agile under domain churn (i.e., domains dynamically joining and leaving). Despite advances in cross-domain orchestration, many proposals rely on heavy integration fabrics, multi-layer...

    arxiv.org/abs/2608.10714 · PDF

  3. 03

    ImpactHO: Importance-Aware KV Cache Transfer for Multi-User Edge LLM Handover

    Minwoo Kim, Soochang Song, Namyoon Lee, Bang Chul Jung, Yongjune Kim

    cs.NI · cs.AI · cs.DC

    Edge LLMs must preserve inference continuity when a user hands over between edge nodes, requiring key-value (KV) cache transfer to the target node. However, simultaneous handovers saturate the backhaul, preventing full cache delivery within the mobility-imposed transfer window. Rather than allocating bandwidth as if all cache entries were equally valuable, we order each user's KV cache by importance and transmit only its most informative...

    arxiv.org/abs/2608.10545 · PDF

  4. 04

    Benchmarking LLM-Guided Control-Plane Policies for Backend Fault Isolation in HAProxy

    Aman Chauhan, Vishnu Pendyala

    cs.NI · cs.LG

    Static load balancers cannot mitigate a backend that is degraded rather than down: round-robin and least-connections keep routing traffic to a server returning HTTP 500s until an operator intervenes. We ask whether a Large Language Model can replace the static routing policy itself, reading HAProxy and Prometheus telemetry every 10 seconds and isolating faulty servers through guardrailed calls to the HAProxy Data Plane API. On a reproducible...

    arxiv.org/abs/2608.10532 · PDF

  5. 05

    Link-adaptive digital twin for robust physical-layer modeling in hybrid-amplified ultra-wideband optical networks

    Xiaoxuan Gao, Rentao Gu, Yingchun Wang, Xinyi Liu, Junshi Gao, Yuefeng Ji

    cs.NI · cs.LG · physics.data-an · physics.optics

    Accurate physical-layer modeling is increasingly essential for reliable ultra-wideband operation and capacity optimization, especially under the intensified inter-channel stimulated Raman scattering (ISRS) effect. This paper proposes the link-adaptive digital twin (LA-DT) for hybrid-amplified ultra-wideband links to overcome the generalization and speed limitations of existing methods, achieving accurate modeling and robust generalized...

    arxiv.org/abs/2608.10517 · PDF

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