A low-complexity SCMA detector for AWGN channel based on solving overdetermined systems of linear equations
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/7756108/7779315/07779331.pdf?arnumber=7779331
Cited by 9 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. Simplified GZN (Gradient-Zhang Neurodynamic) Continuous-Model and Discrete-Algorithms Handling Temporally-Varying ODLMVE (Over-Determined Linear Matrix-Vector Equation);Lecture Notes in Computer Science;2024
2. Neural Solution to Dynamic Overdetermined System With Applications to Data Fitting and Parameters Estimation;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2023-12
3. Performance Analysis of Suboptimal Multiuser Detection Algorithms Based on MPA in Uplink SM-SCMA System;2022 RIVF International Conference on Computing and Communication Technologies (RIVF);2022-12-20
4. A Low-Complexity Codebook Design Scheme for SCMA Systems Over an AWGN Channel;IEEE Transactions on Vehicular Technology;2022-08
5. A review on varying-parameter convergence differential neural network;Neurocomputing;2022-06
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