19 papers
On the Gaussian-Quadratic Rate-Distortion Function for Vector Sources with Individual Distortion Constraints
Shuao Chen, Junyuan Gao, Yuxuan Shi +4
This paper investigates the Gaussian-quadratic lossy compression with arbitrary source length under individual distortion constraints. The rate-distortion function (RDF) is lower-b…
Holographic Beamforming for Semantic Communication
Shuhao Zeng, Haobo Zhang, Su Wang +5
Holographic beamforming enabled by metamaterial antennas has been proposed to facilitate spatial multiplexing at low hardware cost and low power consumption. However, existing holo…
Generative Diffusion Model Driven Massive Random Access in Massive MIMO Systems
Keke Ying, Zhen Gao, Sheng Chen +2
Massive random access is an important technology for achieving ultra-massive connectivity in next-generation wireless communication systems. It aims to address key challenges durin…
Frontiers of Generative AI for Network Optimization: Theories, Limits, and Visions
Bo Yang, Ruihuai Liang, Weixin Li +8
While interest in the application of generative AI (GenAI) in network optimization has surged in recent years, its rapid progress has often overshadowed critical limitations intrin…
Hierarchically Block-Sparse Recovery With Prior Support Information
Liyang Lu, Haochen Wu, Wenbo Xu +2
We provide new recovery bounds for hierarchical compressed sensing (HCS) based on prior support information (PSI). A detailed PSI-enabled reconstruction model is formulated using v…
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization
Xiumei Deng, Jun Li, Kang Wei +6
Adaptive moment estimation (Adam), as a Stochastic Gradient Descent (SGD) variant, has gained widespread popularity in federated learning (FL) due to its fast convergence. However,…