Dynamic and Low-Cost TWDM-PON Resource Allocation for NG-RAN Fronthaul with Multi-cell Traffic Predictions
Author:
Affiliation:
1. China Academy of Information and Communications Technology (CAICT),Beijing,China
2. Beijing University of Posts and Telecommunications (BUPT),Beijing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10088439/10088450/10088624.pdf?arnumber=10088624
Reference8 articles.
1. Deep reinforcement learning-based radio function deployment for secure and resource-efficient NG-RAN slicing
2. Joint Wavelength, Antenna, and Radio Resource Block Allocation for Massive MIMO Enabled Beamforming in a TWDM-PON Based Fronthaul
3. Deep recurrent neural network for optical fronthaul dimensioning and proactive vBBU placement in CF-RAN
4. Self-Adaptive Resource-Allocation Scheme Combining Traffic Prediction With User Satisfaction in Multi-Wavelength VPON
5. Energy Saving via Dynamic Wavelength Sharing in TWDM-PON
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1. Spatial-Temporal Prediction Model for Optical Fronthaul Network Traffic based on ASTFN;2023 21st International Conference on Optical Communications and Networks (ICOCN);2023-07-31
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