AoI-Aware Optimization in RIS-Assisted mmWave Network
Author:
Affiliation:
1. Iran University of Science and Technology,School of Computer Engineering,Tehran,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10533315/10533316/10533317.pdf?arnumber=10533317
Reference26 articles.
1. Real-time status: How often should one update?
2. Ultra-Reliable Indoor Millimeter Wave Communications Using Multiple Artificial Intelligence-Powered Intelligent Surfaces
3. Reinforcement Learning for Minimizing Age of Information under Realistic Physical Dynamics
4. On the Rate and Age of Information for non-preemptive systems with prioritized arrivals and deterministic packet deadlines in IoT networks
5. AoI-Aware Status Update Control for an Energy Harvesting Source over an Uplink mmWave Channel
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1. AoI-aware transmission control in real-time mmwave energy harvesting systems: a risk-sensitive reinforcement learning approach;Digital Communications and Networks;2024-08
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