Research output per year
Research output per year
Project Details
| Short title | PriMO-5G |
|---|---|
| Acronym | PriMO-5G |
| Status | Finished |
| Effective start/end date | 01/07/2018 → 30/06/2021 |
Collaborative partners
- Aalto University (lead)
- Chung-Ang University (Joint applicant)
- Cumucore Oy (Joint applicant)
- EUCAST (Joint applicant)
- KT Corporation (Joint applicant)
- Gwangju Institute of Science and Technology (Joint applicant)
- OY Ericsson (Joint applicant)
- Euroopan komissio - European Commission (Project partner)
- King´s College London (Joint applicant)
- Korea Advanced Institute of Science & Technology (Joint applicant)
- Yonsei University (Joint applicant)
- KTH Royal Institute of Technology (Joint applicant)
- National Instruments in Dresden (Joint applicant)
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
-
Data-driven Capacity Planning for Vehicular Fog Computing
Mao, W., Akgul, Ö., Mehrabidavoodabadi, A., Cho, B., Xiao, Y. & Ylä-Jääski, A., 1 Aug 2022, In: IEEE Internet of Things Journal. 9, 15, p. 13179-13194 16 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile5 Citations (Scopus)81 Downloads (Pure) -
Analysis of Drone Propagation with Ray Tracing from Sub-6 GHz Upto Terahertz Frequencies in a Real World Urban Environment
Sheikh, M. U., Ruttik, K., Saba, N., Mutafungwa, E., Jantti, R. & Hamalainen, J., 13 Jan 2021, 35th International Conference on Information Networking, ICOIN 2021. IEEE, p. 169-174 6 p. 9333892. (The International conference on information networking).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile2 Citations (Scopus)70 Downloads (Pure) -
FlexSensing: A QoI and Latency Aware Task Allocation Scheme for Vehicle-based Visual Crowdsourcing via Deep Q-Network
Zhu, C., Chiang, Y-H., Xiao, Y. & Ji, Y., 1 May 2021, In: IEEE Internet of Things Journal. 8, 9, p. 7625-7637 13 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile7 Citations (Scopus)196 Downloads (Pure)