The Open UniversitySkip to content

Traffic-and-interference aware base station switching for green cellular networks

Alam, Atm Shafiul; Dooley, Laurence S. and Poulton, Adrian S. (2013). Traffic-and-interference aware base station switching for green cellular networks. In: 18th IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD 2013), 25-27 Sep 2013, Berlin, Germany.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (725kB) | Preview
Google Scholar: Look up in Google Scholar


Base station (BS) sleeping in cellular networks has emerged as a promising solution for more energy efficient communications, concomitant with lowering the network carbon footprint. Switching off specific BS entirely however, can lead to coverage holes and severe performance degradation. To avoid coverage holes, the transmit power of neighbouring BS must be commensurately increased, which can cause higher interference to other cell users. Recently a BS-RS (relay station) switching model has been proposed where the BS changes operating mode to a RS during off-peak periods rather than being completely turned off. This paper presents a traffic-aware and traffic-and-interference aware switching strategy for both the BS sleeping and BS-RS switching paradigms, which dynamically establishes the conditions for a BS to alter its working mode. The switching is based upon a dynamic traffic threshold allied with the received BS interference level. Analysis corroborates both new algorithms significantly improve network energy efficiency, while upholding the requisite quality of service provision.

Item Type: Conference or Workshop Item
Copyright Holders: 2013 IEEE
Keywords: green cellular networks; base stations; relay station; interference-aware; traffic-aware; base station switching
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 38101
Depositing User: Atm Alam
Date Deposited: 06 Aug 2013 14:42
Last Modified: 07 Dec 2018 23:02
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU