Deep Reinforcement Learning Based Intelligent User Selection in Massive MIMO Underlay Cognitive Radios

Deep Reinforcement Learning Based Intelligent User Selection in Massive MIMO Underlay Cognitive Radios

Cognitive radio (CR) and massive multiple-input multiple-output (MIMO) have attracted much interest recently due to the amazing ability to accommodate more users and improve spectrum utilization. This paper investigates the QoS-aware user selection approach for massive MIMO underlay cognitive radio....

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Bibliographic Details
Main Authors: Zhaoyuan Shi, Xianzhong Xie, Huabing Lu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Cognitive radio
massive MIMO
power allocation
deep reinforcement learning
user selection
Online Access:https://ieeexplore.ieee.org/document/8781916/

Internet

https://ieeexplore.ieee.org/document/8781916/

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