Name
Abstract | ||
|---|---|---|
5G and Beyond 5G Networks apply Adaptive Modulation and Coding to adjust the downlink modulation order and coding rate according to the channel condition, reported by the user equipment. However, the delay incurred in this feedback process may make the channel quality indicator (CQI) outdated and cause severe degradation in the user communication. This paper proposes a machine learning-based appro... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/WOCC53213.2021.9603019 | 2021 30th Wireless and Optical Communications Conference (WOCC) |
Keywords | DocType | ISBN |
Wireless communication,5G mobile communication,Modulation,Machine learning,Interference,Encoding,Optical fiber communication | Conference | 978-1-6654-2772-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andson Balieiro | 1 | 8 | 2.82 |
| Kelvin Dias | 2 | 26 | 9.61 |
| Paulo Guarda | 3 | 0 | 0.34 |