Name
Title | ||
|---|---|---|
Series Editorial The Fourth Issue of the Series on Machine Learning in Communications and Networks |
Abstract | ||
|---|---|---|
The third call for papers of the Series on Machine Learning in Communications and Networks has continued to receive a great number of high-quality papers covering various aspects of intelligent communications, from which we have included 26 original contributions in this issue. In the following, we provide a brief review of key contributions of papers in this issue according to their topics. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JSAC.2021.3126188 | IEEE Journal on Selected Areas in Communications |
DocType | Volume | Issue |
Journal | 40 | 1 |
ISSN | Citations | PageRank |
0733-8716 | 0 | 0.34 |
References | Authors | |
0 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Geoffrey Y. Li | 1 | 0 | 0.34 |
| Walid Saad | 2 | 4450 | 279.64 |
| Ayfer Ozgur | 3 | 0 | 0.68 |
| Peter Kairouz | 4 | 189 | 22.27 |
| Zhijin Qin | 5 | 8 | 1.82 |
| Jakob Hoydis | 6 | 0 | 1.35 |
| Zhu Han | 7 | 11215 | 760.71 |
| Deniz Gündüz | 8 | 1649 | 129.08 |
| Jaafar Elmirghani | 9 | 0 | 0.34 |