no code implementations • 10 Dec 2023 • Junyi Yang, Weifeng Zhu, Shu Sun, Xiaofeng Li, Xingqin Lin, Meixia Tao
This letter considers the transceiver design in frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems for high-quality data transmission.
no code implementations • 23 Aug 2023 • Junyi Yang, Weifeng Zhu, Meixia Tao, Shu Sun
Fast and precise beam alignment is crucial for high-quality data transmission in millimeter-wave (mmWave) communication systems, where large-scale antenna arrays are utilized to overcome the severe propagation loss.
no code implementations • 8 Sep 2022 • Junyi Yang, Weifeng Zhu, Meixia Tao
In this work, we propose a novel deep learning based hierarchical beam alignment method that learns two tiers of probing codebooks (PCs) and uses their measurements to predict the optimal beam in a coarse-to-fine searching manner.
1 code implementation • 25 Jul 2022 • Zhenyu Xiao, Junyi Yang, Tianqi Mao, Chong Xu, Rui Zhang, Zhu Han, Xiang-Gen Xia
With the rapid development of satellite communication technologies, the space-based access network has been envisioned as a promising complementary part of the future 6G network.
1 code implementation • 19 Oct 2019 • Peng Liu, Xiaoxiao Zhou, Junyi Yang, El Basha Mohammad D, Ruogu Fang
While the depth of convolutional neural networks has attracted substantial attention in the deep learning research, the width of these networks has recently received greater interest.
Ranked #1 on Grayscale Image Denoising on BSD200 sigma70