Constellation design with deep learning for downlink non-orthogonal multiple access
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8552603/8580668/08580937.pdf?arnumber=8580937
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Non-Orthogonal Multiple Access Enhanced Multi-User Semantic Communication;IEEE Transactions on Cognitive Communications and Networking;2023-12
2. Characterizing the DNN Impact on Multiuser PD-NOMA System Based Channel Estimation and Power Allocation;Studies in Systems, Decision and Control;2023-10-04
3. A Weighted Autoencoder-Based Approach to Downlink NOMA Constellation Design;2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC);2023-09-25
4. Image Semantic Communication over Fading Channel: A Learned Broadcast Approach;2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC);2023-09-25
5. Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink;IEEE Transactions on Vehicular Technology;2022-11
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