Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks

4 Dec 2018Sheng ChenZhiyuan JiangSheng ZhouZhisheng Niu

In this paper, we propose a learning-based low-overhead beam alignment method for vehicle-to-infrastructure communication in vehicular networks. The main idea is to remotely infer the optimal beam directions at a target base station in future time slots, based on the CSI of a source base station in previous time slots... (read more)

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