Beam-aware Kernelized Contextual Bandits for User Association and Beamforming in mmWave Vehicular Networks
2026-03-23T08:51:42Z•9fcab6f22fc113fd849142792ac518fa5c93c4d39ad5c7e1faa4d4bea918491d
AoILLM activationsMDPRayleigh fadingSCL decodingSIRage of informationbeam codebooksbeamformingbroadcast gossipcontextual banditsdrone swarmsdropout resiliencehierarchical networksinformation-theoretic secure aggregationkernel methodskernelized UCBmatrix multiplicationmmWavepolar codespreemptionscalar quantizationslotted Alohasuccessive cancellationvehicular networks
What happened
This feed aggregates recent arXiv submissions (Mar 23, 2026) in wireless communications, coding, and learning for communications. Key contributions include: a beam-aware kernelized contextual UCB for mmWave vehicular user association and beam selection that avoids extra channel probing; broadcast gossip analysis for decentralized drone swarms with closed-form SIR success probability and optimal Aloha access; MDP-based optimal request-timing for two-way status updates with preemption to minimize Age of Information; asymptotically optimal scalar quantization for matrix multiplication with closed
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_math_it
- Record identifier
- 9fcab6f22fc113fd849142792ac518fa5c93c4d39ad5c7e1faa4d4bea918491d
- Enrichment time
- 2026-03-23T08:51:42Z
- AI-assisted enrichment
- Yes
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