Traffic Prediction-Enabled Energy-Efficient Dynamic Computing Resource Allocation in CRAN Based on Deep Learning

Traffic Prediction-Enabled Energy-Efficient Dynamic Computing Resource Allocation in CRAN Based on Deep Learning

Due to the greatly increased bandwidth of 5G networks compared with that of 4G networks, the power consumption brought by baseband signal processing of 5G networks is much higher, which inevitably raises the operation expenditures. Cloud Radio Access Network (CRAN) is widely adopted in 5G networks,...

Full description

Bibliographic Details
Main Authors: Yongqin Fu, Xianbin Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Computing resource allocation
wireless traffic prediction
CRAN
deep learning
twodimensional CNN LSTM
multi-start simulated annealing
Online Access:https://ieeexplore.ieee.org/document/9695980/

Internet

https://ieeexplore.ieee.org/document/9695980/

Similar Items