DOCKING uses ordinary kriging on sparse RSRP/SINR data to reconstruct REMs, approximates dominant attenuation as cuboids, and optimizes MIAB placement via genetic algorithm in smart-port settings.
Resource manage- ment for 5G NR integrated access and backhaul: a semi-centralized approach,
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
Adding register tokens to Vision Transformers eliminates high-norm background artifacts and raises state-of-the-art performance on dense visual prediction tasks.
citing papers explorer
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Mobile Base Station Positioning in Smart Ports Based on Kriged Sparse Measurements and Obstacle Inference
DOCKING uses ordinary kriging on sparse RSRP/SINR data to reconstruct REMs, approximates dominant attenuation as cuboids, and optimizes MIAB placement via genetic algorithm in smart-port settings.
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Vision Transformers Need Registers
Adding register tokens to Vision Transformers eliminates high-norm background artifacts and raises state-of-the-art performance on dense visual prediction tasks.