Deep Reinforcement Learning for Multi-User Massive MIMO With Channel Aging
The design of beamforming for downlink multi-user massive multi-input multi-output (MIMO) relies on accurate downlink channel state information (CSI) at the transmitter (CSIT). In fact, it is difficult for the base station (BS) to obtain perfect CSIT due to user mobility, and latency/feedback delay...
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| Main Authors: | Zhenyuan Feng, Bruno Clerckx |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Transactions on Machine Learning in Communications and Networking |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10286867/ |
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