Attention-boosted AI learns to slice 5G edge networks smarter
A hierarchical attention-based reinforcement learning framework improved slice admission rates by up to 20 percent and cut resource overhead by ...
A hierarchical attention-based reinforcement learning framework improved slice admission rates by up to 20 percent and cut resource overhead by ...
A PRISMA-guided review of 49 studies finds 5G/6G-enabled intelligent transportation research fragmented, with sustainability rarely measured directly and 6G capabilities ...
A new scoping review of 73 studies argues that explanations in AI-driven 5G and 6G networks must balance fidelity, latency, ...
A UT Dallas-led NSF-funded project is developing quantum-ready, AI-enabled security tools for next-generation cellular networks.
Researchers have simulated a vanadium dioxide terahertz metasurface that switches between high transmission and strong absorption at the same frequency ...
A PRISMA-based systematic review of 81 studies proposes a unified architecture for AI-native 6G communication systems.
A rank-reduction autoencoder trained on only 421 electromagnetic simulations generated five validated optimized waveguide designs for 6G frequencies that a ...
A programmable topological metasurface that switches between nontrivial and trivial electromagnetic states has demonstrated human-position sensing and wireless communication on ...
Researchers report a simulated graphene-based terahertz MIMO antenna with a 1.33 THz bandwidth and machine learning-assisted optimization, though no prototype ...
Researchers simulated a dual-mode 6G architecture in which a UAV-mounted reconfigurable intelligent surface and a hybrid deep reinforcement learning framework ...
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© 2026 Scienmag - Science Magazine