Dynamic Subcarrier Assignment in OFDMA-PONs Based on Deep Reinforcement Learning
Author:
Affiliation:
1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China
2. School of Electronic Science and Engineering, Southeast University, Nanjing, China
3. Taicang T&W Electronics Company Ltd., Taicang, China
Funder
Jiangsu Provincial Key Research and Development Program
Transformation Program of Scientific and Technological Achievements of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics
Link
http://xplorestaging.ieee.org/ielx7/4563994/9714037/09705139.pdf?arnumber=9705139
Reference38 articles.
1. Deep reinforcement learning based policy for power efficient dynamic subcarrier assignment in OFDMA-PONs;chen;Proc Asia Commun Photon Conf,2019
2. Deep Learning-based Job Placement in Distributed Machine Learning Clusters
3. Deep Reinforcement Learning Based Delay-Sensitive Task Scheduling and Resource Management Algorithm for Multi-User Mobile-Edge Computing Systems
4. Learning scheduling algorithms for data processing clusters
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