Name
Abstract | ||
|---|---|---|
Next-generation vehicle-to-everything (V2X) networks are envisioned as communication platforms, which not only aim to improve road safety and drastically increase traffic efficiency but also introduce a plethora of innovative applications that mostly require ultrareliable low-latency communications. Motivated by such new applications and its accompanying services, future vehicular networks can eas... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JSYST.2020.3009998 | IEEE Systems Journal |
Keywords | DocType | Volume |
Tools,Edge computing,Reinforcement learning,Computer architecture,Resource management,Autonomous vehicles | Journal | 15 |
Issue | ISSN | Citations |
3 | 1932-8184 | 1 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Rihan | 1 | 33 | 8.09 |
| Mohamed Elwekeil | 2 | 1 | 0.35 |
| Yatao Yang | 3 | 2 | 3.07 |
| Lei Huang | 4 | 565 | 68.88 |
| Chen Xu | 5 | 1 | 0.35 |
| Mahmoud M. Selim | 6 | 2 | 1.72 |