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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Li-Zhong Zheng

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2 papers indexed here

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Open access Oct 2026

Rethinking Channel Estimation for Fluid Antenna Systems: A Physics-Informed Operator Learning

Fluid antenna systems (FAS) leverage continuous reconfigurable apertures to transcend the spatial limits of fixed-position arrays, yet acquiring full-aperture channel state information (CSI) from sparse observations remains a formidable bottleneck. In this paper, we establish a continuous-field formulation for FAS by r...

Zi-Xin Wang, Li-Zhong Zheng, Yuan-Ming Shi et al. · 1 citation
Preprint Oct 2026

Telling Neural Network What We Know: Weight Configuration for RNN and Its Application to NextG Real-Time Neural Receiver

AI-enabled receivers offer a promising approach to adaptive physical-layer processing, but conventional neural receivers often require extensive offline training and computationally expensive backpropagation, limiting their suitability for low-latency cellular systems. Moreover, classical MIMO-OFDM receivers rely on ac...

Ummay Sumaya Khan, Li-Zhong Zheng, Ling-Jia Liu · 1 citation

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