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Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems
[article]
2020
arXiv
pre-print
Artificial intelligence (AI) based downlink channel state information (CSI) prediction for frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems has attracted growing attention recently. However, existing works focus on the downlink CSI prediction for the users under a given environment and is hard to adapt to users in new environment especially when labeled data is limited. To address this issue, we formulate the downlink channel prediction as a deep transfer
arXiv:1912.12265v4
fatcat:mhyhgqbvlvbsbk6vyfrfgvi7se