Skip to content
Log in
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

Haijun Zhang

h-index 2 View on Semantic Scholar

We have 5 of 31 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

2026

Joint Optimization of Handoff Control and Resource Block Allocation in Integrated GEO-Multibeam and LEO–UAV Networks

The integrated geostationary Earth orbit (GEO)-multibeam and low Earth orbit (LEO)-uncrewed aerial vehicle (UAV) network has emerged as a promising paradigm to enhance the coverage and capacity of terrestrial networks. However, due to the high dynamics of the network and the heterogeneous service demands of user equipm...

Feng Yang, Meng Li, Peng-Bo Si et al. · 0 citations
2026

Magnitude-Phase Interaction Network for Wireless Interference Identification in Low-Altitude Networks

Wireless spectrum awareness constitutes a critical research domain in wireless communications, particularly for the rapidly expanding low-altitude economy. Robust interference signal identification serves as a fundamental technique for ensuring the security of uncrewed aerial vehicles (UAVs). Leveraging the end-to-end...

Peng-Yu Wang, Xiao-Qi Zhang, Yu-Zheng Ren et al. · 0 citations
Conference Aug 2026

APAC: Adaptive Prompting for Agent-to-Agent Communication at the Edge

The rapid deployment of Large Language Model (LLM)-based agents in wireless networks has introduced severe communication bottlenecks due to the continuous exchange of massive prompt sequences. Existing prompt compression methods either cause semantic degradation or introduce prohibitive computational delays, and largel...

Li-Yang Cui, Yu-Jun Cheng, Enfang Cui et al. · 0 citations
2026

Performance Optimization for Multi-Cell Aerial Networks-Assisted MEC via Dual-Layer Blockchain-Enabled Federated Election

Amid the explosive growth of latency-aware and computation-sensitive services, mobile edge computing (MEC) assisted by aerial networks, such as high-altitude platforms (HAPs) and low-altitude unmanned aerial vehicles (UAVs), has emerged as an effective solution for providing computational capabilities to regions with s...

Haoyu Wan, Meng Li, Qi Li et al. · 0 citations
#graph neural networks Sep 2026

Graph Neural Networks for Diffusion and Aggregation in Wireless Federated Learning

User devices (UDs) with non-independent and identically distributed (non-IID) data will worsen accuracy performance of the global model in federated learning (FL). Therefore, the implementation of diffusion strategies in machine learning (ML) models can enhance the effectiveness of federated learning with non-IID data....

Yunli Ji, Jiechun Zheng, Hongyang Du et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.