Skip to Main content Skip to Navigation
Conference papers

A framework for globally optimal energy-efficient resource allocation in wireless networks

Abstract : State-of-the-art algorithms for energy-efficient resource allocation in wireless networks are based on fractional programming theory, and are able to find the global maximum of the system energy efficiency only in noise-limited scenarios. In interference-limited scenarios , several sub-optimal solutions have been proposed, but an efficient framework to globally maximize energy-efficient metrics is still lacking. The goal of this work is to fill this gap, which will be achieved by merging fractional programming theory with monotonic optimization theory. The resulting optimization framework is useful for at least two main reasons. First, it sheds light on the ultimate energy-efficient performance of wireless networks. Second, it provides the means to benchmark the energy efficiency of practical, but sub-optimal, solutions.
Document type :
Conference papers
Complete list of metadatas

Cited literature [25 references]  Display  Hide  Download

https://hal-centralesupelec.archives-ouvertes.fr/hal-01789313
Contributor : Alessio Zappone <>
Submitted on : Thursday, May 10, 2018 - 12:49:15 PM
Last modification on : Wednesday, July 1, 2020 - 2:30:03 PM
Long-term archiving on: : Monday, September 24, 2018 - 5:19:42 PM

File

ICASSP_Preprint.pdf
Files produced by the author(s)

Identifiers

Citation

Alessio Zappone, Emil Bjornson, Luca Sanguinetti, Eduard Jorswieck. A framework for globally optimal energy-efficient resource allocation in wireless networks. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2016, Shanghai, China. ⟨10.1109/ICASSP.2016.7472351⟩. ⟨hal-01789313⟩

Share

Metrics

Record views

143

Files downloads

232