Polarization-Aware Channel State Prediction Using Phasor Quaternion Neural Networks
The performance of a wireless communication system depends to a large extent on the wireless channel. Due to the multipath fading environment during the radio wave propagation, channel prediction plays a vital role to enable adaptive transmission for wireless communication systems. Predicting variou...
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| Main Authors: | Anzhe Ye, Haotian Chen, Ryo Natsuaki, Akira Hirose |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Transactions on Machine Learning in Communications and Networking |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10731896/ |
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