Joint active user detection and channel estimation for massive machine-type communications

2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) ◽

10.1109/spawc.2017.8227673 ◽

2017 ◽

Author(s):

Sunho Park ◽

Heejin Seo ◽

Hyoungju Ji ◽

Byonghyo Shim

Keyword(s):

Channel Estimation ◽

Machine Type ◽

Active User ◽

Machine Type Communications

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EP-Based Joint Active User Detection and Channel Estimation for Massive Machine-Type Communications

IEEE Transactions on Communications ◽

10.1109/tcomm.2019.2907853 ◽

2019 ◽

Vol 67 (7) ◽

pp. 5178-5189 ◽

Author(s):

Jinyoup Ahn ◽

Byonghyo Shim ◽

Kwang Bok Lee

Keyword(s):

Channel Estimation ◽

Machine Type ◽

Active User ◽

Machine Type Communications

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Expectation Propagation-Based Active User Detection and Channel Estimation for Massive Machine-Type Communications

2018 IEEE International Conference on Communications Workshops (ICC Workshops) ◽

10.1109/iccw.2018.8403604 ◽

2018 ◽

Author(s):

Jinyoup Ahn ◽

Byonghyo Shim ◽

Kwang Bok Lee

Keyword(s):

Channel Estimation ◽

Expectation Propagation ◽

Machine Type ◽

Active User ◽

Machine Type Communications

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Active User Detection of Machine-Type Communications via Dimension Spreading Neural Network

ICC 2019 - 2019 IEEE International Conference on Communications (ICC) ◽

10.1109/icc.2019.8761407 ◽

2019 ◽

Author(s):

Wonjun Kim ◽

Guyoung Lim ◽

Yongjun Ahn ◽

Byonghyo Shim

Keyword(s):

Neural Network ◽

Machine Type ◽

Active User ◽

Machine Type Communications

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Deep Learning-based Spreading Sequence Design and Active User Detection for Massive Machine-Type Communications

IEEE Wireless Communications Letters ◽

10.1109/lwc.2021.3071453 ◽

2021 ◽

pp. 1-1

Author(s):

Namik Kim ◽

Dongwoo Kim ◽

Byonghyo Shim ◽

Kwang Bok Lee

Keyword(s):

Deep Learning ◽

Sequence Design ◽

Spreading Sequence ◽

Machine Type ◽

Active User ◽

Machine Type Communications

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A Compressive Sensing-Based Active User and Symbol Detection Technique for Massive Machine-Type Communications

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2018.8462195 ◽

2018 ◽

Author(s):

Byeong Kook Jeong ◽

Byonghyo Shim ◽

Kwang Bok Lee

Keyword(s):

Compressive Sensing ◽

Detection Technique ◽

Machine Type ◽

Active User ◽

Symbol Detection ◽

Machine Type Communications

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Channel Estimation and User Identification with Deep Learning for Massive Machine-Type Communications

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2021.3111081 ◽

2021 ◽

pp. 1-1

Author(s):

Bryan Liu ◽

Zhiqiang Wei ◽

Weijie Yuan ◽

Jinhong Yuan ◽

Milutin Pajovic

Keyword(s):

Deep Learning ◽

Channel Estimation ◽

User Identification ◽

Machine Type ◽

Machine Type Communications

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Decentralized Channel Estimation for the Uplink of Grant-Free Massive Machine-Type Communications

IEEE Transactions on Communications ◽

10.1109/tcomm.2021.3126619 ◽

2021 ◽

pp. 1-1

Author(s):

Songbin Liu ◽

Haochuan Zhang ◽

Qiuyun Zou

Keyword(s):

Channel Estimation ◽

Machine Type ◽

Machine Type Communications

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Active User Detection and Channel Estimation for Massive Machine-Type Communication: Deep Learning Approach

IEEE Internet of Things Journal ◽

10.1109/jiot.2021.3132329 ◽

2021 ◽

pp. 1-1

Author(s):

Yongjun Ahn ◽

Wonjun Kim ◽

Byonghyo Shim

Keyword(s):

Deep Learning ◽

Channel Estimation ◽

Learning Approach ◽

Machine Type ◽

Active User ◽

Machine Type Communication

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Greedy Data-Aided Active User Detection for Massive Machine Type Communications

IEEE Wireless Communications Letters ◽

10.1109/lwc.2019.2912372 ◽

2019 ◽

Vol 8 (4) ◽

pp. 1224-1227

Author(s):

Syed Ali Irtaza ◽

Sun Hong Lim ◽

Jun Won Choi

Keyword(s):

Machine Type ◽

Active User ◽

Machine Type Communications

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CHANNEL ESTIMATION AND MULTIUSER DETECTION TECHNIQUES FOR MACHINE-TYPE COMMUNICATIONS

10.17771/pucrio.acad.54355 ◽

2021 ◽

Author(s):

ROBERTO BRAUER DI RENNA

Keyword(s):

Channel Estimation ◽

Multiuser Detection ◽

Detection Techniques ◽

Machine Type ◽

Machine Type Communications

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