Name
Abstract | ||
|---|---|---|
With the completion of the first release (Rel-15) of the 3GPP fifth-generation (5G) NR specifications [1, 2], the research community should now direct its focus towards the next step in the evolution of wireless mobile communication. Similar to earlier generations, it can be expected that the next ten years will see a gradual evolution of NR, introducing new innovative technology components and further enhancing the capabilities and expanding the scope of 5G wireless access. In a longer-time perspective, we may see the emergence of completely new “beyond 5G” radio-access technology. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICAIIC.2019.8669012 | 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) |
Keywords | Field | DocType |
Machine learning,Machine learning algorithms,Wireless communication,5G mobile communication,Training,Receivers | Wireless mobile communications,Wireless,Telecommunications,Computer science,Mobile telephony | Conference |
ISBN | Citations | PageRank |
978-1-5386-7822-0 | 1 | 0.37 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Erik Dahlman | 1 | 586 | 101.44 |
| Stefan Parkvall | 2 | 2080 | 205.95 |
| Janne Peisa | 3 | 99 | 9.26 |
| Hugo M. Tullberg | 4 | 281 | 42.15 |
| Hideshi Murai | 5 | 7 | 4.93 |
| Masanobu Fujioka | 6 | 1 | 0.37 |