Green communications via data demand foresight

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 pred...

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Bibliographic Details
Main Authors: Sahiner, T., Kurt, G. K., Ozbakir, A.
Format: Conference Proceeding
Language:eng ; tur
Subjects:
Convex functions
convex optimization
Digital divide
green communication
Interference
Mobile communication
mobile data need
Multiaccess communication
reduced power consumption
Signal to noise ratio
Wireless communication
Online Access:Request full text
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Summary: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.
DOI:10.1109/SIU.2013.6531470