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papersTODAY 04:00 UTC

Data-Driven Method for Outdoor Channel Prediction in 5G and Beyond

A revised arXiv paper examines how machine learning and data-driven techniques can predict wireless channel behavior in outdoor 5G and future networks. Accurate channel estimation is presented as key to improving quality of service for users. The work sits within ongoing efforts to make beyond-5G systems more reliable and efficient.

arXiv5GBeyond 5GChannel estimationWireless channel predictionmachine-learning

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