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Resource Management in LADNs Supporting 5G V2X Communications
Ren Hung Hwang
, Faysal Marzuk
*
, Marek Sikora
, Piotr Cholda
,
Ying Dar Lin
*
Corresponding author for this work
Institute of Computational Intelligence
Institute of Computer and Communications Security
National Yang Ming Chiao Tung University
Institute of Network Engineering
Research output
:
Contribution to journal
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Article
›
peer-review
4
Scopus citations
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Keyphrases
Resource Management
100%
Data Networks
100%
Remote Radio Head
100%
Access to Information
100%
Local Access
100%
V2X Communication
100%
5G-V2X
100%
Energy Saving
50%
Optimal Association
50%
Energy Consumption
25%
Numerical Results
25%
Latency
25%
Optimization Problem
25%
Computation Time
25%
Quality of Service
25%
Resource Management Problem
25%
Quality of Service Guarantee
25%
Interference Signal
25%
Bandwidth Limitation
25%
Resource Allocation Problem
25%
Signal-to-interference Ratio
25%
Uplink
25%
Heuristic Algorithms
25%
Inter-cell Interference
25%
Uplink Signal
25%
Fifth Generation
25%
Cloud Radio Access Network
25%
Optimal Resource Allocation
25%
Small-sized
25%
Optimal Algorithm
25%
Real-time Control
25%
Traffic Demand
25%
Network Servers
25%
Vehicle Density
25%
Vehicle-to-everything Communication
25%
Large-scale Scenario
25%
5G Radio Access Network
25%
Support Vehicle
25%
Management Energy
25%
V2X Applications
25%
Computer Science
Computer Network
100%
Quality of Service
50%
Radio Access Network
50%
Energy Consumption
25%
Service Requirement
25%
Optimization Problem
25%
Allocation Problem
25%
Computation Time
25%
Heuristic Algorithm
25%
intercell interference
25%
Signal-to-Noise plus Interference Ratio
25%
Optimal Algorithm
25%
Reducing Latency
25%
Traffic Demand
25%
Vehicle Density
25%
Resource Allocation
25%
Engineering
Quality of Service
100%
Radio Access Network
100%
Energy Conservation
50%
Optimisation Problem
50%
Service Requirement
50%
Computation Time
50%
Signal-to-Interference-Plus-Noise Ratio
50%
Resource Allocation Problem
50%
Earth and Planetary Sciences
Energy Consumption
100%
Real Time
100%
Resource Allocation
100%
Energy Utilization
100%