A neural autoencoder estimates each user's channel angle power spectrum from beam-level RSRP and clusters users by that spectrum, enabling gridization without location data.
SRCON: A data-driven network performance simulator for real-world wireless networks,
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Learning to Gridize: Segment Physical World by Wireless Communication Channel
A neural autoencoder estimates each user's channel angle power spectrum from beam-level RSRP and clusters users by that spectrum, enabling gridization without location data.