AI Inspired Intelligent Resource Management in Future Wireless Network

AI Inspired Intelligent Resource Management in Future Wireless Network

In order to improve network performance, including reducing computation delay, transmission delay and bandwidth consumption, edge computing and caching technologies are introduced to the fifth-generation wireless network (5G). However, the volume of edge resources is limited, while the number and co...

Full description

Bibliographic Details
Main Authors: Sibao Fu, Fan Yang, Ye Xiao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
deep Q-network
resource management
edge computing and caching
the fifth-generation wireless network (5G)
Online Access:https://ieeexplore.ieee.org/document/8966360/

Similar Items

Similar Items