Yu Cheng

Professor

Illinois Institute of Technology

United States

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Professor Yu Cheng is a faculty member at the Illinois Institute of Technology in the United States. His research areas include deep reinforcement learning, wireless network optimization, and energy-efficient communication systems. Recent articles authored by Professor Cheng address topics such as resource allocation in U-LTE networks and scheduling strategies in the Industrial Internet of Things.

Articles (10)

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2021

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2021

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2021

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2021

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2020

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2020

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2020

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2020

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2020

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2020

Collaborators (1)

Lin Cai

Associate Professor

Illinois Institute of Technology

UNITED STATES

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Yu Cheng

Research Interests

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Articles (10)

Constrained Deep Reinforcement Learning for Energy Sustainable Multi-UAV Based Random Access IoT Networks with NOMA

Diffie-Hellman in the Air: A Link Layer Approach for In-Band Wireless Pairing

Joint resource allocation over licensed and unlicensed spectrum in U-LTE networks

Sleep-Wake Sensor Scheduling for Minimizing AoI-Penalty in Industrial Internet of Things

Application-Oriented Scheduling for Optimizing the Age of Correlated Information: A Deep-Reinforcement-Learning-Based Approach

Capacity analysis of opportunistic channel bonding over multi-channel WLANs under unsaturated traffic

Deep Learning Meets Wireless Network Optimization: Identify Critical Links

Energy-Efficient Massive MIMO with Decentralized Precoder Design

Reinforcement learning for efficient and fair coexistence between lte-laa and wi-fi

Securely Solving Linear Algebraic Equations in a Distributed Framework Enhanced with Communication-Efficient Algorithms

Collaborators (1)

Lin Cai

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