Jinho Choi

Professor

Deakin University

Australia

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About

Professor Jinho Choi is a faculty member at Deakin University in Australia. His research encompasses areas such as federated learning, Internet of Things networks, satellite communications, and massive MIMO systems. He has contributed significantly to the fields of signal processing and communication technologies through his recent articles, which explore innovative frameworks for enhancing network efficiency and reliability.

Articles (20)

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Collaborators (5)

Bassel Al Homssi

Lecturer of Intelligent Space Systems

University of New South Wales

AUSTRALIA

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Ke Wang

AUSTRALIA

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Wei Zhang

Professor

University of New South Wales

AUSTRALIA

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Seng Wai Loke

Professor in Computer Science

Deakin University

AUSTRALIA

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Jihong Park

Lecturer

Deakin University

AUSTRALIA

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Jinho Choi

Research Interests

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About

Articles (20)

Mitigating Phase Errors to Improve Signal Quality in RIS-Assisted Satellite Communications

Communication-Efficient Multi-Server Federated Learning via Over-the-Air Computation

Offloading Game for Mobile Edge Computing With Random Access in IoT

Deep Learning-Based Low Complexity MIMO Detection via Partial MAP

An Efficient Frame Aggregation Scheme for Relay-Aided Internet of Things Networks With Age of Information Constraints

Joint Optimization of Power Control and LSFD Coefficients for Uplink Cell-Free Massive MIMO in Weak Channel Hardening Environments

Over-the-Air Distributed Matrix-Vector Multiplication With Analog Coding

Multiplexing B5G/6G Services Over Aerial VLC Networks: A Comprehensive Radio Resource Management Framework

Efficient Hybrid Transmission for Cell-Free Systems via NOMA and Multiuser Diversity

Design of STAR-RIS Assisted Uplink NOMA for Maximum Fairness

Non-Terrestrial Networks with UAVs: A Projection on Flying Ad-Hoc Networks

Sum Rate Optimization of IRS-Aided Uplink Muliantenna NOMA with Practical Reflection

An Efficient Clustering Framework for Massive Sensor Networking in Industrial Internet of Things

Lightweight Physical Layer Aided Key Agreement and Authentication for the Internet of Things

Performance Analysis of Uplink NOMA Systems With Hardware Impairments and Delay Constraints Over Composite Fading Channels

Data-Aided Sensing for Gaussian Process Regression in IoT Systems

Data-Aided Sensing for Distributed Detection

Machine Learning Enabled Preamble Collision Resolution in Distributed Massive MIMO

Performance Analysis of 2-Step Random Access With CDMA in Machine-Type Communication

Stability Region of Hybrid Uplink NOMA: Game Theoretic Perspective

Collaborators (5)

Bassel Al Homssi

Ke Wang

Wei Zhang

Seng Wai Loke

Jihong Park

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