Abstract
Positioning in general will play an important role in future 5G networks by enabling a vast amount of different location-based services and applications. To offer enriched end-user information and more efficient network performance, location information becomes increasingly more important especially indoors. Therefore, we have designed and implemented an indoor positioning platform to support the development of foreseen location based 5G network functionalities and services. This paper presents the overall system architecture, linkage to the 5G Test Network Finland, and initial trial results with different positioning methods.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE International Conference on Communications Workshops, ICC Workshops 2019 - Proceedings |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-7281-2373-8 |
| DOIs | |
| Publication status | Published - May 2019 |
| MoE publication type | A4 Article in a conference publication |
| Event | IEEE International Conference on Communications Workshops, ICC Workshops 2019 - Shanghai, China Duration: 20 May 2019 → 24 May 2019 |
Workshop
| Workshop | IEEE International Conference on Communications Workshops, ICC Workshops 2019 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 20/05/19 → 24/05/19 |
Keywords
- 5G
- FTM
- Genetic algorithms
- Image based positioning
- Indoor positioning
- MEC
- Neural networks
- Test platform