Search Results for author: Zhenyuan Feng

Found 3 papers, 1 papers with code

Deep Reinforcement Learning for Multi-user Massive MIMO with Channel Aging

no code implementations14 Feb 2023 Zhenyuan Feng, Bruno Clerckx

The design of beamforming for downlink multi-user massive multi-input multi-output (MIMO) relies on accurate downlink channel state information (CSI) at the transmitter (CSIT).

Management reinforcement-learning +1

Waveform and Beamforming Design for Intelligent Reflecting Surface Aided Wireless Power Transfer: Single-User and Multi-User Solutions

no code implementations7 Jan 2021 Zhenyuan Feng, Bruno Clerckx, Yang Zhao

This paper highlights the fact that IRS can provide an extra passive beamforming gain on output DC power over conventional WPT designs and significantly influence the waveform design by leveraging the benefit of passive beamforming, frequency diversity and energy harvester nonlinearity.

Information Theory Signal Processing Information Theory

IRS-Aided SWIPT: Joint Waveform, Active and Passive Beamforming Design Under Nonlinear Harvester Model

1 code implementation10 Dec 2020 Yang Zhao, Bruno Clerckx, Zhenyuan Feng

To facilitate practical implementation, we also propose a low-complexity design based on closed-form adaptive waveform schemes.

Information Theory Signal Processing Information Theory

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