Efficient Multi-User Detection for Uplink Grant-Free NOMA: Prior-Information Aided Adaptive Compressive Sensing Perspective

Author:

Du Yang,Dong Binhong,Chen ZhiORCID,Wang XiaodongORCID,Liu Zeyuan,Gao Pengyu,Li Shaoqian

Funder

National Science Foundation of China

Huawei HIRP Project

Sichuan Youth Science and Technology Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Cited by 113 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. Joint Beamforming and Compressed Sensing for Uplink Grant-Free Access;IEEE Transactions on Wireless Communications;2024-09

2. Joint Activity and Data Detection for Massive Grant-Free Access Using Deterministic Non-Orthogonal Signatures;IEEE Transactions on Wireless Communications;2024-08

3. Efficient and Secure Aggregation Framework for Federated-Learning-Based Spectrum Sharing;IEEE Internet of Things Journal;2024-05-15

4. Blind Grant-Free Random Access With Message-Passing-Based Matrix Factorization in mmWave MIMO mMTC;IEEE Internet of Things Journal;2024-02-01

5. A Novel Codebook Construction and Blind Detection Method for Grant-Free mMTCs;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

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