arXiv cs.NIarXiv:2609.19823v1 Announce Type: new Abstract: As streaming services become more commonplace, analyzing their behavior effectively under different network conditions is crucial. This is normally quite expensive, requiring multiple players with different bandwidth configurations to be emulated by a
arXiv cs.NIarXiv:2609.20163v1 Announce Type: new Abstract: Emerging immersive applications are expected to support heterogeneous groups of users with fundamentally different communication and computation requirements. Using the Musical Metaverse (MM) as a representative example, we show how such applications e
arXiv cs.NIarXiv:2609.20347v1 Announce Type: new Abstract: LEO satellite networks feature dynamic topologies, time-varying links, and diverse service requirements, which make conventional routing schemes difficult to support fine-grained quality-of-service (QoS) provisioning. Existing studies mainly optimize r
arXiv cs.NIarXiv:2609.20569v1 Announce Type: new Abstract: The goal-oriented communication paradigm is poised to enable novel real-time applications by easing the burden on communication networks while still delivering task-relevant information. However, efforts so far have focused on the encoding problem, whi
arXiv cs.NIarXiv:2609.20578v1 Announce Type: new Abstract: Connected-vehicle safety evaluations rely on coupled traffic and network simulations, but standard channel models ignore radio resource competition in 5G NR sidelink Mode-2, reporting unrealistically high message delivery in dense traffic. This study i
arXiv cs.NIarXiv:2609.20640v1 Announce Type: new Abstract: Accurate positioning is increasingly required in indoor and dense urban environments; nonetheless, satellite-based systems are not always available, and standardized 5G localization solutions remain difficult to deploy with commercial devices. This pap
arXiv cs.NIarXiv:2609.19157v1 Announce Type: cross Abstract: We study the competitive ratio of Longest Queue Drop (LQD), the canonical buffer management policy for shared memory switches, for which the previously published bounds were CR(LQD) in [1.44546086, 1.6918]. We improve both ends. For the lower bound,
arXiv cs.NIarXiv:2609.19561v1 Announce Type: cross Abstract: Hybrid terrestrial-satellite quantum networks combine terrestrial fiber infrastructure with free-space links to enable long-distance entanglement distribution. Entanglement can be routed over different combinations of terrestrial and satellite links,
arXiv cs.NIarXiv:2609.19720v1 Announce Type: cross Abstract: Containment decisions -- where to put a firewall, which links to monitor, what a program may reach -- are computed from an observed structure, and observation is a snapshot. We ask what a snapshot misses when the wiring changes over time. On a hyperc
arXiv cs.NIarXiv:2609.19899v1 Announce Type: cross Abstract: Dynamic ad insertion comparisons can conflate trigger, reach, readiness, playback, billability and measurement even when the accounting is arithmetically correct. We separate these events with an observed-event ledger, a candidate-invariant reference
arXiv cs.NIarXiv:2609.19924v1 Announce Type: cross Abstract: Large Language Models (LLMs) transform vast collections of unstructured text into semantic patterns used for language generation and reasoning tasks. Behind their ease of use lies a complex process: words become tokens, tokens become vectors, and vec
arXiv cs.NIarXiv:2609.20271v1 Announce Type: cross Abstract: Reliable and low-latency communication is a fundamental requirement for smart city services and Industry 4.0 applications enabled by NR-V2X networks. However, limited Road-Side Unit (RSU) deployment and complex urban propagation conditions often prev
arXiv cs.NIarXiv:2503.24203v3 Announce Type: replace Abstract: Traffic Engineering (TE) in large-scale networks like cloud Wide Area Networks (WANs) and Low Earth Orbit (LEO) satellite constellations is a critical challenge. Although learning-based approaches have been proposed to address the scalability of tr