Abstract
Millimeter-wave (mm-wave) small cells have been considered an effective technique for significantly improving the data rates of future networks. More particularly, this article investigates the potential benefits of mm-wave small-cell networks from the perspective of nonorthogonal multiple access (NOMA) and wireless caching. We highlight a range of innovative resource management solutions conceived for mm-wave small-cell networks by invoking adaptive learning. Finally, several promising future research directions for these networks are identified.
| Original language | British English |
|---|---|
| Article number | 8852694 |
| Pages (from-to) | 46-53 |
| Number of pages | 8 |
| Journal | IEEE Vehicular Technology Magazine |
| Volume | 15 |
| Issue number | 1 |
| DOIs | |
| State | Published - Mar 2020 |
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