Abstract
Over-provisioned femtocell networks can be used to serve indoor locations that see high peak loads, such as airports or train stations. However, networks designed for high peak loads are mostly under-utilized, which is wasteful from an energy-use perspective. This paper introduces a femtocell selective activation problem. We motivate the use of selective activation in femtocell networks using real femtocell power measurements. We formally define the selective activation problem, and introduce GreenFemto, a distributed femtocell selective activation algorithm. We prove that GreenFemto converges to a locally Pareto optimal solution. Detailed simulations of an LTE wireless system are used to demonstrate the performance of GreenFemto. We find that GreenFemto uses up to 55% fewer femtocells to serve a given load, relative to an existing femtocell power-saving technique. Furthermore, we show that GreenFemto comes within 15% of a globally optimal solution. We conclude that selective activation can be successfully applied to femtocell networks to both reduce power consumption and reduce outage probabilities.
Recommended Citation
M. Lin et al., "On Selective Activation in Dense Femtocell Networks," IEEE Transactions on Wireless Communications, vol. 15, no. 10, pp. 7018 - 7029, article no. 7523211, Institute of Electrical and Electronics Engineers, Oct 2016.
The definitive version is available at https://doi.org/10.1109/TWC.2016.2594784
Department(s)
Computer Science
Keywords and Phrases
algorithms; Communication technologies; distributed algorithms; Mathematics; wireless communications; wireless networks
International Standard Serial Number (ISSN)
1536-1276
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Oct 2016
Comments
National Science Foundation, Grant 1355406