Equi-noise: A statistical model that combines embedded memory failures and channel noise

Muhammad S. Khairy, Amin Khajeh, Ahmed M. Eltawil, Fadi J. Kurdahi

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


This paper exploits the predominance of embedded memories in current and emerging wireless transceivers as a means to save power via channel state aware voltage scaling. The paper presents a statistical model that captures errors in embedded memories due to voltage over-scaling and maps the errors to a Gaussian distribution that represents a combination of communication channel noise and hardware noise. Designers can use the proposed model to investigate different power management policies, that capture the performance of the system as a function of both channel and hardware dynamics, thus creating a much richer design space of power, performance and reliability. A case study of a DVB receiver is presented and the validity of the proposed model is confirmed by simulations. © 2013 IEEE.
Original languageEnglish (US)
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Issue number2
StatePublished - Feb 1 2014
Externally publishedYes

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Generated from Scopus record by KAUST IRTS on 2019-11-20


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