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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

Esa Ollila

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3 papers indexed here

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Sep 2026

Multi-Modal Sensing-Assisted Cross-Environment Beam Prediction Towards 6G

Multi-modal sensing has demonstrated remarkable efficacy for intra-site beam prediction. However, generalizing trained models to unseen environments remains a significant challenge, primarily due to the inherent environment-specific wireless propagation characteristics. Existing cross-environment works rely on either r...

Lei Wang, Chang-Yi Li, Kai Dong et al. · 0 citations
Open access Sep 2026

A Majorization-Minimization Framework for Activity Detection in Mixed Near-and-Far-Field Random Access

Grant-free random access in massive machine-type communications requires detecting a small active set from length-<inline-formula> <tex-math notation="LaTeX">$L$ </tex-math></inline-formula> uplink pilots received at an <inline-formula> <tex-math notation="LaTeX">$M$ </tex-math></inline-formula>-antenna base station. C...

Xin-Jue Wang, Zhi-Yong Wang, S. A. Vorobyov et al. · 0 citations
Preprint Sep 2026

Floating-Point Microformat Quantization and Pruning for Efficient MU-MIMO Neural Receivers

Neural receivers outperform conventional 5G NR processing chains, but their compute and memory demands hinder real-time deployment. For a standard-compliant multi-user MIMO neural receiver, the 4-bit number format, not merely the bit width, determines whether compression preserves the gain over classical receivers. We...

SaiKrishna Saketh Yellapragada, Esa Ollila, Mário Costa et al. · 0 citations

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