Name
Abstract | ||
|---|---|---|
With 6G flagship program launched by the University of Oulu, Finland, for full future adaptation of 6G by 2030, many institutes worldwide have started to explore various issues and challenges in 6G communication networks. 6G offers ultra high-reliable and massive ultra-low latency while opening the doors for many applications currently not viable by today's 4G and 5G communication standards. The current 5G technology has security and privacy issues which makes its usage in limited applications. In such an environment, we believe that AI can offer efficient solutions for the aforementioned issues having low communication overhead cost. Keeping focus on all these issues, in this paper, we presented a comprehensive survey on AI-enabled 6G communication technology, which can be used in wide range of future applications. In this article, we explore how AI can be integrated into different applications such as object localization, UAV communication, surveillance, security and privacy preservation etc. Finally, we discussed a use case that shows the adoption of AI techniques in intelligent transport system. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.comcom.2020.07.035 | COMPUTER COMMUNICATIONS |
Keywords | DocType | Volume |
Artificial Intelligence, 6G, Communication networks, Mobile edge computing, Intelligent transportation system | Journal | 161 |
ISSN | Citations | PageRank |
0140-3664 | 3 | 0.36 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karan Sheth | 1 | 3 | 0.36 |
| Keyur Patel | 2 | 3 | 0.70 |
| Het Shah | 3 | 3 | 1.72 |
| Sudeep Tanwar | 4 | 288 | 42.82 |
| Rajesh Gupta | 5 | 81 | 14.05 |
| Neeraj Kumar | 6 | 2889 | 236.13 |