Spatial Modulation for Beyond 5G Communications: Capacity Calculation and Link Adaptation
Uloženo v:
| Název: | Spatial Modulation for Beyond 5G Communications: Capacity Calculation and Link Adaptation |
|---|---|
| Autoři: | Anxo Tato, Carlos Mosquera |
| Zdroj: | Proceedings, Vol 21, Iss 1, p 26 (2019) |
| Informace o vydavateli: | MDPI AG |
| Rok vydání: | 2019 |
| Sbírka: | Directory of Open Access Journals: DOAJ Articles |
| Témata: | link adaptation, adaptive coding and modulation, spatial modulation, 5G, neural networks, machine learning, deep learning, General Works |
| Popis: | Spatial Modulation (SM) is a candidate modulation scheme for beyond 5G communications systems due to its reduced hardware complexity and good trade-off between energy and spectral efficiency. This paper proposes two Machine Learning based solutions for easing the implementation of adaptive SM systems. On the one hand, a shallow neural network is shown to be an accurate and simple method for obtaining the capacity of SM. On the other hand, a deep neural network is proposed to select the coding rate in practical adaptive SM systems. |
| Druh dokumentu: | article in journal/newspaper |
| Jazyk: | English |
| Relation: | https://www.mdpi.com/2504-3900/21/1/26; https://doaj.org/toc/2504-3900; https://doaj.org/article/74d98cbdc46e47908846549dc9a2b0cf |
| DOI: | 10.3390/proceedings2019021026 |
| Dostupnost: | https://doi.org/10.3390/proceedings2019021026 https://doaj.org/article/74d98cbdc46e47908846549dc9a2b0cf |
| Přístupové číslo: | edsbas.12AE5292 |
| Databáze: | BASE |
Nájsť tento článok vo Web of Science Buďte první, kdo okomentuje tento záznam!