Access and Radio Resource Management for IAB Networks Using Deep Reinforcement Learning

Access and Radio Resource Management for IAB Networks Using Deep Reinforcement Learning

Congestion in dense traffic networks is a prominent obstacle towards realizing the performance requirements of 5G new radio. Since traditional adaptive traffic signal control cannot resolve this type of congestion, realizing context in the network and adapting resource allocation based on real-time...

Full description

Bibliographic Details
Main Authors: Malcolm M. Sande, Mduduzi C. Hlophe, Bodhaswar T. Maharaj
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Congestion control
deep reinforcement learning
integrated access and backhaul
millimeter wave
nearest neighbor
resource allocation
Online Access:https://ieeexplore.ieee.org/document/9512096/

Internet

https://ieeexplore.ieee.org/document/9512096/

Similar Items