Active User Identification Based on Asynchronous Sparse Bayesian Learning With SVM

Active User Identification Based on Asynchronous Sparse Bayesian Learning With SVM

In this paper, an asynchronous sparse Bayesian learning (ASBL) algorithm-based receiver for uplink (UL) grant-free transmission is proposed. The time-domain channel estimation is performed by the ASBL algorithm to obtain the channel impulse response (CIR) for each user. Then, the support vector mach...

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Bibliographic Details
Main Authors: Jingwei Fu, Gang Wu, Yizhong Zhang, Lijun Deng, Shu Fang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Massive machine-type communication (mMTC)
asynchronous grant-free multiple access
active user detection
sparse Bayesian learning (SBL)
support vector machine (SVM)
Online Access:https://ieeexplore.ieee.org/document/8778634/

Internet

https://ieeexplore.ieee.org/document/8778634/

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