Near-Optimal User Clustering and Power Control for Uplink MISO-NOMA Networks
Author:
Affiliation:
1. Beijing Jiaotong University,School of Computer and Information Technology,Beijing,China,100044
2. Intel Research Center,Beijing,China,100080
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685202.pdf?arnumber=9685202
Reference12 articles.
1. On Augmenting UL Connections in Massive MIMO System Using Composite Channel Estimation
2. Exploiting Multiple-Antenna Techniques for Non-Orthogonal Multiple Access
3. Optimal and Sub-Optimal Uplink NOMA: Joint User Grouping, Decoding Order, and Power Control
4. Unsupervised Machine Learning-Based User Clustering in Millimeter-Wave-NOMA Systems
5. A framework for uplink power control in cellular radio systems
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1. Order-Optimal Multiple-Access Channel for Massive MIMO via Group Testing Decoding;IEEE Transactions on Communications;2024-07
2. Order-Optimal Joint Transmission and Identification in Massive Multi-User MIMO via Group Testing;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25
3. Robust Group Testing-Based Multiple-Access Protocol for Massive MIMO;Cyber Security, Cryptology, and Machine Learning;2023
4. Effective User Clustering and Power Control for Multiantenna Uplink NOMA Transmission;IEEE Transactions on Wireless Communications;2022-11
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