Name
Title | ||
|---|---|---|
Deep Learning based Efficient Trajectory Planning and Sharing for Aerial Cells in mMTC Networks |
Abstract | ||
|---|---|---|
Terrestrial cellular networks can benefit immensely for both coverage and capacity extension by deploying Low Altitude Platform (LAP)-based aerial cells. Reduction of the capital expenditure (CAPEX) and operation expenditure (OPEX) is a key consideration by telecom operators and sharing of aerial cells can be a great enabler. The available literature on aerial cell sharing amongst operators is lim... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/WF-IoT51360.2021.9595576 | 2021 IEEE 7th World Forum on Internet of Things (WF-IoT) |
Keywords | DocType | ISBN |
Deep learning,Analytical models,Trajectory planning,Simulation,Predictive models,Data models,Trajectory | Conference | 978-1-6654-4431-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tushar Vrind | 1 | 1 | 1.50 |
| Sudharshan Rao | 2 | 0 | 0.34 |
| Lalit Pathak | 3 | 1 | 1.50 |
| Debabrata Das | 4 | 61 | 23.61 |