Trained and Robust Parameter Based Path Sampling for Low Complexity MIMO Detection in 5G-NR
Author:
Affiliation:
1. Huawei Technologies Co., Ltd.,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9860273/9860350/09860655.pdf?arnumber=9860655
Reference14 articles.
1. On the Randomized Babai Point
2. Decoding by Sampling — Part II: Derandomization and Soft-Output Decoding
3. Soft–Input Soft–Output Single Tree-Search Sphere Decoding
4. NR; Multiplexing and channel coding,2021
5. Low-Complexity Sorted QR Decomposition for MIMO Systems Based on Pairwise Column Symmetrization
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1. Learning the Discrete Maximum a Posteriori Distribution for Soft MIMO Detection;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21
2. Training Parameters of Path Sampling Via Data Driven Optimization For Soft MIMO Detection;ICC 2023 - IEEE International Conference on Communications;2023-05-28
3. Soft MIMO Detection Using Marginal Posterior Probability Statistics;GLOBECOM 2022 - 2022 IEEE Global Communications Conference;2022-12-04
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