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Reducing the power consumption in LTE‐Advanced wireless access networks by a capacity based deployment tool
Author(s) -
Deruyck Margot,
Joseph Wout,
Tanghe Emmeric,
Martens Luc
Publication year - 2014
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1002/2013rs005364
Subject(s) - femtocell , mimo , computer science , base station , software deployment , computer network , wireless network , wireless , heterogeneous network , energy consumption , access network , efficient energy use , telecommunications , electrical engineering , engineering , channel (broadcasting) , operating system
As both the bit rate required by applications on mobile devices and the number of those mobile devices are steadily growing, wireless access networks need to be expanded. As wireless networks also consume a lot of energy, it is important to develop energy‐efficient wireless access networks in the near future. In this study, a capacity‐based deployment tool for the design of energy‐efficient wireless access networks is proposed. Capacity‐based means that the network responds to the instantaneous bit rate requirements of the users active in the selected area. To the best of our knowledge, such a deployment tool for energy‐efficient wireless access networks has never been presented before. This deployment tool is applied to a realistic case in Ghent, Belgium, to investigate three main functionalities incorporated in LTE‐Advanced: carrier aggregation, heterogeneous deployments, and Multiple‐Input Multiple‐Output (MIMO). The results show that it is recommended to introduce femtocell base stations, supporting both MIMO and carrier aggregation, into the network (heterogeneous deployment) to reduce the network's power consumption. For the selected area and the assumptions made, this results in a power consumption reduction up to 70%. Introducing femtocell base stations without MIMO and carrier aggregation can already result in a significant power consumption reduction of 38%.