Joint Active User Detection, Channel Estimation, and Data Detection for Massive Grant-Free Transmission in Cell-Free Systems
Author:
Affiliation:
1. Southeast University,National Mobile Communications Research Laboratory,Nanjing,China
2. ETH Zurich,Department of Information Technology and Electrical Engineering,Switzerland
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10304363/10304364/10304473.pdf?arnumber=10304473
Reference22 articles.
1. Joint Channel Estimation, Activity Detection and Data Decoding Based on Dynamic Message-Scheduling Strategies for mMTC
2. A Low-Complexity Joint User Activity, Channel and Data Estimation for Grant-Free Massive MIMO Systems
3. Joint User Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA
4. Joint Device Activity Detection, Channel Estimation and Signal Detection for Massive Grant-Free Access via BiGAMP
5. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
Cited by 2 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. Deep-Unfolded Joint Activity and Data Detection for Grant-Free Transmission in Cell-Free Systems;2024 19th International Symposium on Wireless Communication Systems (ISWCS);2024-07-14
2. Notice of Removal: Deep-Unfolding-Based Joint Activity and Data Detection for Grant-Free Transmission in Cell-Free Wireless Communication Systems;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
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