Abstract
Power allocation is one of the fundamental problems in wireless networks and a wide variety of algorithms address this problem from different perspectives. A common element among these algorithms is that they rely on an estimation of the channel state, which may be inaccurate on account of hardware defects, noisy feedback systems, and environmental and adversarial disturbances. Therefore, it is essential that the output power allocation of these algorithms is stable with respect to input perturbations, to the extent that the variations in the output are bounded for bounded variations in the input. In this paper, we focus on UWMMSE - a modern algorithm leveraging graph neural networks -, and illustrate its stability to additive input perturbations of bounded energy through both theoretical analysis and empirical validation.
Original language | English |
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Title of host publication | 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 5298-5302 |
Number of pages | 5 |
ISBN (Electronic) | 9781665405409 |
DOIs | |
State | Published - 2022 |
Externally published | Yes |
Event | 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Virtual, Online, Singapore Duration: May 23 2022 → May 27 2022 |
Publication series
Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
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Volume | 2022-May |
ISSN (Print) | 1520-6149 |
Conference
Conference | 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 |
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Country/Territory | Singapore |
City | Virtual, Online |
Period | 05/23/22 → 05/27/22 |
Funding
Research was sponsored by the Army Research Office and was accomplished under Cooperative Agreement Number W911NF-19-2-0269. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Office or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein. Emails: {ac131, fgama, segarra}@rice.edu.
Keywords
- power allocation
- stability
- UWMMSE
- Wireless networks