Variational Inference Based Sparse Signal Detection for Next Generation Multiple Access-Reference-Cited by-同舟云学术

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Variational Inference Based Sparse Signal Detection for Next Generation Multiple Access

Published:2022-04 Issue:4 Volume:40 Page:1114-1127
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Han Rui¹^ORCID,Bai Lin¹^ORCID,Zhang Weizheng²,Liu Jianwei¹^ORCID,Choi Jinho³^ORCID,Zhang Wei²^ORCID

Affiliation:

1. School of Cyber Science and Technology, Beihang University, Beijing, China

2. School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW, Australia

3. School of Information Technology, Deakin University, Burwood, VIC, Australia

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

National Key Research and Development Program of China

Shenzhen Science & Innovation Fund

Australian Research Council’s Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/9736456/09681910.pdf?arnumber=9681910

Reference50 articles.

1. Efficient Compressive Sensing Detectors for Generalized Spatial Modulation Systems

2. Stability and Throughput of Random Access With CS-Based MUD for MTC

3. Optimal Combining and Detection

4. Fundamentals of Wireless Communication

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. Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion;Entropy;2023-03-16

2. Special Issue on Next Generation Multiple Access—Part I;IEEE Journal on Selected Areas in Communications;2022-04

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