IRS-Aided Mobile Edge Computing for Mine IoT Networks using Deep Reinforcement Learning
Author:
Affiliation:
1. China University of Mining and Technology,School of Information and Control Engineering,Xuzhou,China,221116
2. Peking University,School of Electronics,Beijing,China,100871
Funder
Fundamental Research Funds for the Central Universities
China Postdoctoral Science Foundation
China University of Mining and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10233255/10233122/10233405.pdf?arnumber=10233405
Reference20 articles.
1. Learning-Based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks
2. Deep Reinforcement Learning for Communication and Computing Resource Allocation in RIS Aided MEC Networks
3. DRL based Data Offloading for Intelligent Reflecting Surface Aided Mobile Edge Computing
4. Intelligent Reflecting Surface Meets OFDM: Protocol Design and Rate Maximization
5. Deep Reinforcement Learning Based Intelligent Reflecting Surface Optimization for MISO Communication Systems
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