跳到主要导航
跳到搜索
跳到主要内容
西北工业大学 国内
English
中文
国内
简介
研究单位
科研成果
按专业知识、名称或附属进行搜索
Energy efficient transmission in underlay CR-NOMA networks enabled by reinforcement learning
Wei Liang
, Soon Xin Ng, Jia Shi,
Lixin Li
,
Dawei Wang
电子信息学院
University of Southampton
Xidian University
科研成果
:
期刊稿件
›
文章
›
同行评审
8
引用 （Scopus）
综述
指纹
指纹
探究 'Energy efficient transmission in underlay CR-NOMA networks enabled by reinforcement learning' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Computer Science
Power Allocation
100%
Reinforcement Learning
100%
Energy Efficient
100%
Noma
100%
Cognitive Radio
100%
Access Network
100%
Optimization Problem
40%
Spectral Efficiency
40%
Convex Optimization
20%
Approximation (Algorithm)
20%
Learning Process
20%
Energy Efficiency
20%
Channel Condition
20%
Allocation Strategy
20%
Access Technique
20%
Cognitive Radio Network
20%
spectrum band
20%
Engineering
Power Allocation
100%
Reinforcement Learning
100%
Noma
100%
Cognitive Radio
100%
Cognitive User
60%
Primary User
40%
Optimisation Problem
20%
Simulation Result
20%
Energy Efficiency
20%
Convex Optimization Problem
20%
Constrains
20%
Data Rate
20%
Q-Learning
20%
Spectral Efficiency
20%
Cognitive Radio Network
20%
Channel Condition
20%
High Spectral Efficiency
20%
Interference Constraint
20%