Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing
Author:
Affiliation:
1. Tsinghua University,School of Aerospace Engineering,Beijing,China
2. Tsinghua University,Department of Mathematical Sciences,Beijing,China
3. Huawei Technologies Co., Ltd.,Theory Lab, Central Research Institute, 2012 Labs
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10206429/10206441/10206691.pdf?arnumber=10206691
Reference37 articles.
1. Capacity-Achieving Spatially Coupled Sparse Superposition Codes With AMP Decoding
2. Spatially coupled sparse regression codes for single-and multi-user communications;hsieh;PhD thesis University of Cambridge,2021
3. Generalized approximate message-passing decoder for universal sparse superposition codes
4. Near-Optimal Coding for Many-User Multiple Access Channels
5. On the Convergence of Approximate Message Passing With Arbitrary Matrices
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. Capacity-Achieving Coding Schemes for Multiple Access Channels;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29
2. Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25
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