EconPapers    
Economics at your fingertips  
 

Solving the power allocation problem using methods with result verification

Ekaterina Auer, César Benavente-Peces and Andreas Ahrens

International Journal of Reliability and Safety, 2018, vol. 12, issue 1/2, 86-102

Abstract: Characterising how different types of uncertainty in the multiple-input multiple-output (MIMO) systems influence their performance is an important research topic. In this paper, we focus on the task of power allocation in fixed rate MIMO systems with singular value decomposition based channel separation. The interval analysis is used to develop a verified solution to the problem taking bounded uncertainty in parameters and rounding errors into account. We demonstrate that power allocation improves the bit error rate (BER) using an exemplary 4 × 4 MIMO channel for two distinct choices of the channel matrix and compute an upper bound on the BER under realistic uncertainty conditions. Besides, we show that a combined analytical/numerical procedure produces better results than the purely numerical one and identify parameters the mathematical model is most sensitive to.

Keywords: interval analysis; result verification; MIMO systems; power allocation. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=92506 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijrsaf:v:12:y:2018:i:1/2:p:86-102

Access Statistics for this article

More articles in International Journal of Reliability and Safety from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijrsaf:v:12:y:2018:i:1/2:p:86-102