QuaMoE-DRF forecasts dynamic beam-SINR fields to enable proactive BS, beam, and MCS decisions in ISAC networks, reporting 402.5 Mbps effective rate and 0.0417 outage on a simulated multi-BS urban benchmark.
Toward environment-aware 6G communications via channel knowledge map,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
UNiFi-DLE uses physics-guided disentanglement and alignment of delay profiles to generalize frequency-domain channel extrapolation across near-field and far-field scenarios.
citing papers explorer
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QuaMoE-DRF: Proactive Beam and Rate Adaptation via Multimodal Dynamic Radio Map Forecasting in ISAC Networks
QuaMoE-DRF forecasts dynamic beam-SINR fields to enable proactive BS, beam, and MCS decisions in ISAC networks, reporting 402.5 Mbps effective rate and 0.0417 outage on a simulated multi-BS urban benchmark.
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Unified Generalization for Frequency-Domain Channel Extrapolation Across Near-Field and Far-Field Scenarios
UNiFi-DLE uses physics-guided disentanglement and alignment of delay profiles to generalize frequency-domain channel extrapolation across near-field and far-field scenarios.