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Green energy aware user association in heterogeneous networks
Qiang Fan
,
Nirwan Ansari
Electrical and Computer Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
21
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Scopus citations
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Keyphrases
Green Energy
100%
User Association
100%
Base Station
100%
Heterogeneous Networks
100%
Energy-aware
100%
Power Consumption
40%
On-grid
40%
Energy Consumption
20%
Traffic Load
20%
Cellular Networks
20%
NP-hard
20%
Bandwidth Allocation
20%
Information Communication Technology
20%
Whole Network
20%
Macro Base Station
20%
Unlicensed Spectrum
20%
Green Heterogeneous Networks
20%
Pico Base Stations
20%
Excessive Green
20%
NEAT Algorithm
20%
Spectrum Partitioning
20%
Sine qua Non
20%
Low Computational Complexity
20%
Computer Science
Power Consumption
100%
Heterogeneous Network
100%
Optical Spectrum
100%
Energy Consumption
50%
Computational Complexity
50%
Cellular Network
50%
Bandwidth Allocation
50%
Macro Base Station
50%
Information and Communication Technology
50%
Engineering
Basestation
100%
Heterogeneous Network
100%
Green Energy
100%
Electric Power Utilization
28%
Optical Spectrum
28%
Computational Complexity
14%
Simulation Result
14%
Cellular Network
14%
Information and Communication Technologies
14%