Search Results for author: Yifan Ma

Found 6 papers, 0 papers with code

AI-Native Transceiver Design for Near-Field Ultra-Massive MIMO: Principles and Techniques

no code implementations18 Sep 2023 Wentao Yu, Yifan Ma, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief

Ultra-massive multiple-input multiple-output (UMMIMO) is a cutting-edge technology that promises to revolutionize wireless networks by providing an unprecedentedly high spectral and energy efficiency.

Lightweight and Flexible Deep Equilibrium Learning for CSI Feedback in FDD Massive MIMO

no code implementations28 Nov 2022 Yifan Ma, Wentao Yu, Xianghao Yu, Jun Zhang, Shenghui Song, Khaled B. Letaief

In this paper, we propose a lightweight and flexible deep learning-based CSI feedback approach by capitalizing on deep equilibrium models.

Augmented Deep Unfolding for Downlink Beamforming in Multi-cell Massive MIMO With Limited Feedback

no code implementations3 Sep 2022 Yifan Ma, Xianghao Yu, Jun Zhang, S. H. Song, Khaled B. Letaief

In limited feedback multi-user multiple-input multiple-output (MU-MIMO) cellular networks, users send quantized information about the channel conditions to the associated base station (BS) for downlink beamforming.

Quantization

Learn to Communicate with Neural Calibration: Scalability and Generalization

no code implementations1 Oct 2021 Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, S. H. Song, Khaled B. Letaief

Furthermore, such networks will vary dynamically in a significant way, which makes it intractable to develop comprehensive analytical models.

Computational Efficiency Management

Neural Calibration for Scalable Beamforming in FDD Massive MIMO with Implicit Channel Estimation

no code implementations3 Aug 2021 Yifan Ma, Yifei Shen, Xianghao Yu, Jun Zhang, S. H. Song, Khaled B. Letaief

Channel estimation and beamforming play critical roles in frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems.

Automated Prostate Cancer Diagnosis Based on Gleason Grading Using Convolutional Neural Network

no code implementations29 Nov 2020 Haotian Xie, Yong Zhang, Jun Wang, Jingjing Zhang, Yifan Ma, Zhaogang Yang

The Gleason grading system using histological images is the most powerful diagnostic and prognostic predictor of prostate cancer.

Data Augmentation Image Reconstruction

Cannot find the paper you are looking for? You can Submit a new open access paper.