Name
Title | ||
|---|---|---|
UAVs as an Intelligent Service: Boosting Edge Intelligence for Air-Ground Integrated Networks |
Abstract | ||
|---|---|---|
The air-ground integrated network is a key component of future sixth generation (6G) networks to support seamless and near-instant super-connectivity. There is a pressing need to intelligently provision various services in 6G networks, which is challenging. To meet this need, in this article, we propose a novel architecture called UaalS, that is, unmanned aerial vehicles (UAVs) as a intelligent service for the air-ground integrated network, featuring the UAV as a key enabler to boost edge intelligence with the help of machine learning (ML) techniques. We envision that the proposed UaalS architecture could intelligently provision wireless communication service, edge computing service, and edge caching service by a network of UAVs, making full use of UAVs' flexible deployment and diverse ML techniques. We also conduct a case study where UAVs participate in the model training of distributed ML among multiple terrestrial users, whose result shows that the model training is efficient with low energy consumption of UAVs. Finally, we discuss the challenges and some open research issues in UaaIS. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MNET.011.2000651 | IEEE Network |
Keywords | DocType | Volume |
edge caching service,UAV flexible deployment,intelligent service,boosting edge intelligence,air-ground integrated network,future sixth generation networks,provision various services,provision wireless communication service,edge computing service | Journal | 35 |
Issue | ISSN | Citations |
4 | 0890-8044 | 2 |
PageRank | References | Authors |
0.39 | 0 | 7 |