Abstract
In this work, a deductive way is tried to fix high data demand problem in latest years. By determining data demand, it is shown that total mobile power consumption which is a valuable wireless communication resource, may be reduced as a part of green communication. Potential data demand will be predicted within digital divide perspective. Mobile subscribers' data need is foresighted through previously clustered 1140 habitants of Istanbul, by a digital divide questionnaire, into three groups: digital literate, digital moderate and digital illiterate. Therefore in this work minimizing mobile power consumption is proposed by matching clustered subscribers with constant throughput needs and by using convex optimization methods.
Keywords
Computer science
Wireless
Consumption (sociology)
Throughput
Mobile telephony
Matching (statistics)
Futures studies
Work (physics)
Power consumption
Power (physics)
Computer network
Telecommunications
Mobile radio
Engineering
Artificial intelligence
Mathematics
Subject Areas
Advanced MIMO Systems Optimization
·Electrical and Electronic Engineering ·Physical Sciences
Advanced Wireless Network Optimization
·Electrical and Electronic Engineering ·Physical Sciences
Power Line Communications and Noise
·Electrical and Electronic Engineering ·Physical Sciences
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