Name
Title | ||
|---|---|---|
Deep Neural Network based Minimum Length Scheduling in Wireless Powered Communication Networks |
Abstract | ||
|---|---|---|
Minimization of schedule length is key in ensuring the delay performance of wireless powered communication networks (WPCNs) demanding strict timing and reliability guarantees. Previous solution methodologies proposed for these wireless networks suffer from high run-time complexity, making it very difficult to solve the problem in real time. This paper considers a run-time efficient deep learning b... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/GCWkshps52748.2021.9682169 | 2021 IEEE Globecom Workshops (GC Wkshps) |
Keywords | DocType | ISBN |
Deep learning,Schedules,Wireless networks,Simulation,Neural networks,Complexity theory,Feeds | Conference | 978-1-6654-2390-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nasir Khan | 1 | 0 | 0.34 |
| Sinem Coleri Ergen | 2 | 5 | 5.59 |