Abstract
A recursive neural network based BBU pool resource allocation scheme in C-RAN is proposed. Simulation results indicate the proposed scheme achieves lower power consumption and blocking rate with higher total throughput compared with traditional network.
Original language | English |
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Title of host publication | 2018 Asia Communications and Photonics Conference, ACP 2018 |
Publisher | OSA - The Optical Society |
ISBN (Electronic) | 9781538661581 |
DOIs | |
Publication status | Published - 28 Dec 2018 |
Externally published | Yes |
Event | 2018 Asia Communications and Photonics Conference, ACP 2018 - Hangzhou, China Duration: 26 Oct 2018 → 29 Oct 2018 |
Publication series
Name | Asia Communications and Photonics Conference, ACP |
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Volume | 2018-October |
ISSN (Print) | 2162-108X |
Conference
Conference | 2018 Asia Communications and Photonics Conference, ACP 2018 |
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Country/Territory | China |
City | Hangzhou |
Period | 26/10/18 → 29/10/18 |
Keywords
- 5G fronthaul network
- C-RAN
- Recursive neural network
- Resource allocation
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Tian, B., Zhang, Q., Xin, X., Tian, Q., Wu, X., Tao, Y., Shen, Y., Cao, G., & Liu, N. (2018). Recursive Neural Network Based RRH to BBU Resource Allocation in 5G Fronthaul Network. In 2018 Asia Communications and Photonics Conference, ACP 2018 Article 8596310 (Asia Communications and Photonics Conference, ACP; Vol. 2018-October). OSA - The Optical Society. https://doi.org/10.1109/ACP.2018.8596310