Green Communications via Data Demand Foresight


Sahiner T., Karabulut Kurt G. Z. , Ozbakir A.

21st Signal Processing and Communications Applications Conference (SIU), CYPRUS, 24 - 26 April 2013 identifier

  • Publication Type: Conference Paper / Full Text
  • Country: CYPRUS

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.