Millimeter-wave (mmWave) vehicular networks are a key enabler of beyond-5G intelligent transportation systems but are highly vulnerable to fast mobility, dynamic blockages, and rapid topology variations, which often cause beam misalignment and quality-of-service (QoS) degradation. Data-driven beamforming based on artif...
LP-BTS is a learning-guided planning architecture that exceeds a deadline heuristic and two source-derived direct-policy reconstructions on every paired scenario, and provides controlled evidence about learning-guided planning in a large, dynamic action space.
Multi-charger scheduling in wireless rechargeable sensor networks must weigh sensor death risk, charger energy, travel cost, return-to-base feasibility and inter-charger coordination at once, and schedulers driven by local urgency alone duplicate service and leave whole regions unattended. We present HQARRF, a two-leve...
Liang-Ching Tao, Pi-Chung Wang· 1 citation
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