Search Results for author: Zhijia Yang

Found 4 papers, 0 papers with code

Holographic MIMO Communications with Arbitrary Surface Placements: Near-Field LoS Channel Model and Capacity Limit

no code implementations11 Apr 2023 Tierui Gong, Li Wei, Chongwen Huang, Zhijia Yang, Jiguang He, Mérouane Debbah, Chau Yuen

Envisioned as one of the most promising technologies, holographic multiple-input multiple-output (H-MIMO) recently attracts notable research interests for its great potential in expanding wireless possibilities and achieving fundamental wireless limits.

A Generalized Electromagnetic-Domain Channel Modeling for LOS Holographic MIMO with Arbitrary Surface Placements

no code implementations15 Mar 2023 Tierui Gong, Li Wei, Zhijia Yang, Mérouane Debbah, Chau Yuen

Holographic multiple-input multiple-output (H-MIMO) is considered as one of the most promising technologies to enable future wireless communications in supporting the expected extreme requirements, such as high energy and spectral efficiency.

Hybrid Beamforming Design for Millimeter Wave Multiuser MIMO Systems with Dynamic Subarrays

no code implementations6 May 2022 Gengshan Wang, Zhijia Yang, Tierui Gong

In this letter, we investigate the millimeter wave (mmWave) downlink multiuser multiple-input multiple-output (MU-MIMO) system, adopting the dynamic subarray architecture at the base station and considering the multi-stream communication for each user.

RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data

no code implementations19 Jul 2021 Guang Yang, Ke Mu, Chunhe Song, Zhijia Yang, Tierui Gong

Federated learning is a widely used distributed deep learning framework that protects the privacy of each client by exchanging model parameters rather than raw data.

Federated Learning

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