Name
Abstract | ||
|---|---|---|
Mobile edge computing (MEC) has emerged as a promising paradigm to realize user requirements with low-latency applications. The deep integration of multi-access technologies and MEC can significantly enhance the access capacity between heterogeneous devices and MEC platforms. However, the traditional MEC network architecture cannot be directly applied to the Internet of Vehicles (IoV) due to high ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MCOM.2018.1701130 | IEEE Communications Magazine |
Keywords | Field | DocType |
Task analysis,Collaboration,Edge computing,Cloud computing,Computer architecture,Resource management,Heterogeneous networks,Multiaccess communication,Internet of Things | Edge computing,Computer science,Network architecture,Mobile edge computing,Heterogeneous network,Latency (engineering),Access network,Distributed computing,The Internet,Cloud computing | Journal |
Volume | Issue | ISSN |
56 | 8 | 0163-6804 |
Citations | PageRank | References |
19 | 0.68 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guanhua Qiao | 1 | 79 | 5.29 |
| Supeng Leng | 2 | 702 | 67.45 |
| Ke Zhang | 3 | 540 | 32.46 |
| Yejun He | 4 | 463 | 40.47 |