arXiv:2604.02369v1 Announce Type: cross
Abstract: Agent communication protocols are becoming critical infrastructure for large language model (LLM) systems that must use tools, coordinate with other agents, and operate across heterogeneous environment…
arXiv:2604.02370v1 Announce Type: cross
Abstract: As wireless communication evolves, each generation of networks brings new technologies that change how we connect and interact. Artificial Intelligence (AI) is becoming crucial in shaping the future of…
arXiv:2604.02367v1 Announce Type: cross
Abstract: Selecting the appropriate model at inference time — the routing problem — requires jointly optimizing output quality, cost, latency, and governance constraints. Existing approaches delegate this deci…
arXiv:2604.02927v1 Announce Type: new
Abstract: Routing algorithms are crucial for efficient computer network operations, and in many settings they must be able to react to traffic bursts within milliseconds. Live telemetry data can provide informativ…
arXiv:2604.02356v1 Announce Type: cross
Abstract: Low-Earth-orbit (LEO) satellite constellations are increasingly performing on-board computing. However, the continuous emergence of new classes under strict memory and communication constraints poses m…
arXiv:2604.02360v1 Announce Type: cross
Abstract: The transformative potential of large language models (LLMs) in education, such as improving accessibility and personalized learning, is being eclipsed by significant challenges. These challenges stem …
arXiv:2604.02361v1 Announce Type: cross
Abstract: Detecting Internet routing instability is a critical yet challenging task, particularly when relying solely on endpoint active measurements. This study introduces TRACE, a MachineLearning (ML)pipeline …
arXiv:2604.02358v1 Announce Type: cross
Abstract: Vehicular Ad Hoc Networks (VANETs) play a crucial role in realizing vehicle-road collaboration and intelligent transportation. However, urban VANETs often face challenges such as frequent link disconne…
arXiv:2401.05308v4 Announce Type: replace-cross
Abstract: High-altitude platform stations (HAPS) enable large-scale federated learning (FL) in non-terrestrial networks (NTN) by providing wide-area coverage and predominantly line-of-sight (LoS) connect…
arXiv:2604.01944v1 Announce Type: cross
Abstract: Wideband channel frequency response (CFR) estimation is challenging in multi-band wireless systems, especially when one or more sub-bands are temporarily blocked by co-channel interference. We present …