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 | 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) |
| Pages | 1-2 |
| Number of pages | 2 |
| ISBN (Electronic) | 978-1-5386-6009-6 |
| DOIs | |
| Publication status | Published - 20 Dec 2018 |
Keywords
- aircraft communication
- cellular radio
- learning (artificial intelligence)
- optical communication equipment
- networked flying platforms
- cellular coverage
- cellular capacity
- airborne network resilience
- machine learning
- blockchain technologies
- Resilience
- Machine learning
- 5G mobile communication
- Reliability
- Batteries
- Networked flying platforms
- resilience
- self-organizing networks
- blockchain