Robust game-theoretic algorithms for distributed resource allocation in wireless communications
thesisposted on 2018-07-17, 15:50 authored by Amod J.G. Anandkumar
The predominant game-theoretic solutions for distributed rate-maximization algorithms in Gaussian interference channels through optimal power control require perfect channel knowledge, which is not possible in practice due to various reasons, such as estimation errors, feedback quantization and latency between channel estimation and signal transmission. This thesis therefore aims at addressing this issue through the design and analysis of robust game-theoretic algorithms for rate-maximization in Gaussian interference channels in the presence of bounded channel uncertainty. [Continues.]
Engineering and Physical Sciences Research Council (EPSRC grant no. EP/F065477/1).
- Mechanical, Electrical and Manufacturing Engineering
Publisher© Amod Jai Ganesh Anandkumar
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesA Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.