Title | ||
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Optimizing Age of Information Through Aerial Reconfigurable Intelligent Surfaces: A Deep Reinforcement Learning Approach |
Abstract | ||
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We investigate the benefits of integrating unmanned aerial vehicles (UAVs) with reconfigurable intelligent surface (RIS) elements to passively relay information sampled by Internet of Things devices (IoTDs) to the base station (BS). In order to maintain the freshness of relayed information, an optimization problem with the objective of minimizing the expected sum Age-of-Information (AoI) is formul... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TVT.2021.3063953 | IEEE Transactions on Vehicular Technology |
Keywords | DocType | Volume |
Relays,Optimization,Wireless networks,Reliability,Internet of Things,Fading channels,Delays | Journal | 70 |
Issue | ISSN | Citations |
4 | 0018-9545 | 8 |
PageRank | References | Authors |
0.46 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Moataz Shoukry Samir | 1 | 58 | 6.56 |
Mohamed Elhattab | 2 | 8 | 0.46 |
Chadi Assi | 3 | 1357 | 137.73 |
sanaa sharafeddine | 4 | 145 | 23.26 |
Ali Ghrayeb | 5 | 1668 | 124.84 |