Abstract
Networked flying platforms can be used to provide cellular coverage and capacity. Given that 5G and beyond networks are expected to be always available and highly reliable, resilience and reliability of these networks must be investigated. This paper introduces the specific features of airborne networks that influence their resilience. We then discuss how machine learning and blockchain technologies can enhance the resilience of networked flying platforms.
| Original language | English |
|---|---|
| Title of host publication | IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Pages | 1155-1156 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781538660096 |
| DOIs | |
| Publication status | Published - 20 Dec 2018 |
| Event | IEEE International Symposium on Personal, Indoor and Mobile Radio Communications - Bologna, Italy Duration: 9 Sept 2018 → 12 Oct 2018 Conference number: 29th http://pimrc2018.ieee-pimrc.org/ |
Publication series
| Name | IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) |
|---|---|
| Publisher | IEEE |
| ISSN (Electronic) | 2166-9589 |
Conference
| Conference | IEEE International Symposium on Personal, Indoor and Mobile Radio Communications |
|---|---|
| Abbreviated title | IEEE PIMRC 2018 |
| Country/Territory | Italy |
| City | Bologna |
| Period | 9/09/18 → 12/10/18 |
| Internet address |
Keywords
- networked flying platforms
- resilience
- self-organizing networks
- machine learning
- blockchain
