Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject network slicing
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 28-Oct-2024 | Federated learning framework for prediction based load distribution in 5G network slicing | Dutta, N; Patole, SP; Mahadeva, R; Ghinea, G |
| 19-Mar-2021 | Using 5G to Bring More than just Bits to Homes | Tan, B; Cosmas, J; Banitsas, K; Rustell, M; Säe, J; Valkama, M; Zhang, Y; Oca, EMD; Aondoakaa, D |