From the 3 of 7 linked papers with an AI index.
7 papers
Joint Optimization of Uplink and Downlink Resources under QoS Constraints of AR
Shiyong Chen, Shengqian Han
This paper studies joint uplink (UL) and downlink (DL) resource optimization for interactive augmented reality (AR) services, where the live video captured by an AR device is uploa…
Learning-Based Beamforming for Energy Efficiency of Continuous Aperture Array Systems
Shiyong Chen, Jia Guo, Shengqian Han
The paper proposes a learning framework that jointly determines the size of continuous aperture arrays and their beamforming functions to maximize downlink energy efficiency, using…
Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming
Shiyong Chen, Shengqian Han, Jia Guo
The paper introduces a functional WMMSE algorithm and an implicit neural representation (BeamINR) based on a graph neural network to design continuous beamforming functions for mul…
Learning-based Multiuser Beamforming for Holographic MIMO~Systems
Shiyong Chen, Shengqian Han
The paper proposes a learning‑based approach using a gradient‑based graph neural network to design multi‑user beamformers for holographic MIMO systems, achieving higher spectral ef…
Implicit Neural Representation of Beamforming for Continuous Aperture Array Systems
Shiyong Chen, Jia Guo, Shengqian Han
In this paper, a learning-based approach is proposed for optimizing downlink beamforming in multiple-input multiple-output (MIMO) systems that employ continuous aperture arrays (CA…
Functional WMMSE Algorithm for Multiuser Continuous Aperture Array Systems
Shiyong Chen, Shengqian Han, Jia Guo
In this paper, we develop a functional weighted minimum mean-squared error (WMMSE) algorithm for downlink beamforming in multiuser continuous aperture array (CAPA) systems where bo…