Search Results for author: Erwu Liu

Found 6 papers, 0 papers with code

SNR Maximization and Localization for UAV-IRS-Assisted Near-Field Systems

no code implementations24 Apr 2024 Hanfu Zhang, Yidan Mei, Erwu Liu, Rui Wang

This letter introduces a novel unmanned aerial vehicle (UAV)-intelligent reflecting surface (IRS) structure into near-field localization systems to enhance the design flexibility of IRS, thereby obtaining additional performance gains.

Near-Field Localization and Phase Shift Optimization for RIS-Assisted Non-Ideal OFDM Systems

no code implementations19 Dec 2023 Hanfu Zhang, Erwu Liu, Rui Wang, Zhe Xing, Yan Liu

By incorporating reconfigurable intelligent surface (RIS) into communication-assisted localization systems, the issue of signal blockage caused by obstacles can be addressed, and passive beamforming can be employed to enhance localization accuracy.

Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles

no code implementations1 Mar 2021 Rui Wang, Heju Li, Erwu Liu

The rapid increase of the data scale in Internet of Vehicles (IoV) system paradigm, hews out new possibilities in boosting the service quality for the emerging applications through data sharing.

Edge-computing Federated Learning +1

Deep Deterministic Policy Gradient for Relay Selection and Power Allocation in Cooperative Communication Network

no code implementations11 Dec 2020 Yuanzhe Geng, Erwu Liu, Rui Wang, Yiming Liu, Jie Wang, Gang Shen, Zhao Dong

Perfect channel state information (CSI) is usually required when considering relay selection and power allocation in cooperative communication.

Information Theory Systems and Control Systems and Control Information Theory

Hierarchical Reinforcement Learning for Relay Selection and Power Optimization in Two-Hop Cooperative Relay Network

no code implementations10 Nov 2020 Yuanzhe Geng, Erwu Liu, Rui Wang, Yiming Liu

Simulation results reveal that compared with traditional DRL method, the HRL training algorithm can reach convergence 30 training iterations earlier and reduce the outage probability by 5% in two-hop relay network with the same outage threshold.

Hierarchical Reinforcement Learning reinforcement-learning +1

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