Name
Abstract | ||
|---|---|---|
We study the problem of user association, namely finding the optimal assignment of user equipment to base stations to achieve a targeted network performance. In this paper, we focus on the knowledge transferability of association policies. Indeed, traditional non-trivial user association schemes are often scenario-specific or deployment-specific and require a policy re-design or re-learning when t... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/PIMRC50174.2021.9569681 | 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) |
Keywords | DocType | ISBN |
Training,Base stations,5G mobile communication,Reinforcement learning,Network architecture,Benchmark testing,Complexity theory | Conference | 978-1-7281-7586-7 |
Citations | PageRank | References |
1 | 0.38 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Sana | 1 | 4 | 1.81 |
| Nicola di Pietro | 2 | 1 | 0.38 |
| Emilio Calvanese Strinati | 3 | 1 | 2.07 |