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次世代異質性網路中以人工智慧方法分配無線資源之研究
Wang, Chia-Pin
(PI)
Department of Electrical Engineering
Project
:
Government Ministry
›
Ministry of Science and Technology
Overview
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INIS
spectra
100%
resources
75%
allocations
75%
efficiency
50%
artificial intelligence
25%
learning
25%
design
25%
implementation
25%
transmission
25%
depth
25%
solutions
25%
Engineering
Heterogeneous Network
100%
Long Term Evolution
83%
Femtocells
83%
Spectrum Utilization
50%
Access Point
33%
Communication System
33%
Analytical Model
33%
Resource Allocation Problem
16%
Reinforcement Learning
16%
Artificial Intelligence
16%
Computer Science
Heterogeneous Network
100%
Spectrum Utilization
50%
Long Term Evolution
50%
long-term evolution
33%
Access Point
33%
Analytical Model
33%
Resource Allocation
33%
Reinforcement Learning
16%
Allocation Problem
16%
Resource Allocation Scheme
16%
Channel Access
16%
Transmission Opportunity
16%
Artificial Intelligence
16%