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Optimal matching between energy saving and traffic load for mobile multimedia communication
Author(s) -
Chehri Abdellah,
Jeon Gwanggil
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.5035
Subject(s) - cellular network , computer science , operating expense , cellular traffic , maximization , energy consumption , computer network , base station , capital expenditure , matching (statistics) , minification , mobile telephony , energy (signal processing) , efficient energy use , telecommunications , mobile radio , engineering , mathematical optimization , electrical engineering , economics , programming language , statistics , business , mathematics , accounting , finance
Summary Optimizing cell locations of cellular networks is one of the most fundamental problems of network design. However, in order to meet a growing appetite for mobile data services, a large number of base stations are being deployed, which leads to tremendous energy consumption in cellular networks. This augmentation increases not only the system's capital and operational expenditure (CAPEX/OPEX) for mobile operators but also CO2 emissions. Besides the issue of meeting overwhelming traffic demands, network operators around the world now realize the importance of managing their cellular networks in an energy‐efficient manner. In this paper, we develop a self‐organizing framework for energy saving in orthogonal frequency‐division multiple‐access–based cellular access networks. We consider three different objectives, namely, coverage maximization, overlap minimization, and power consumption minimization, which is different from all existing works on energy saving in cellular networks.