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AI Enabled Resource Allocation in Future Mobile Networks
Umer Rehman Mughal
, Manzoor Ahmed Khan
,
Azam Beg
, Ghulam Qadir Mughal
Department of Computer and Network Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
6
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Citations (Scopus)
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Keyphrases
Resource Allocation
100%
Autonomous Driving
100%
Future Mobile Networks
100%
AI-based Methods
100%
Mobile Networks
50%
Application Domain
50%
Smart Grid
50%
Mobility Patterns
50%
Berlin
50%
Network Operator
50%
Communication Infrastructure
50%
Single User
50%
Recent Past
50%
Demand Estimation
50%
E-health
50%
Capacity Planning
50%
Activity Patterns
50%
Machine Learning Approach
50%
Demand Capacity
50%
Classification via Regression
50%
Device Layer
50%
Dynamic Demand
50%
Classification via Clustering
50%
Realistic Settings
50%
AI Approach
50%
Dynamic Equipment
50%
Dynamic Demand Estimation
50%
Computer Science
Resource Allocation
100%
Mobile Network
100%
Artificial Intelligence
100%
Autonomous Driving
100%
Application Domain
50%
Smart Grid
50%
Network Operator
50%
Capacity Planning
50%
Emerging Application
50%
Machine Learning Approach
50%
Engineering
Artificial Intelligence
100%
Smart Grid
50%
Network Operator
50%
Single User
50%
Learning Approach
50%
Communication Infrastructure
50%
Application Domain
50%
Economics, Econometrics and Finance
Allocation
100%
Smart Grid
100%
Machine Learning
100%
Material Science
Elasticity
100%