Error-aware power management for memory dominated OFDM systems

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

doi:10.1109/ACSSC.2013.6810664

Error-aware power management for memory dominated OFDM systems

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Mobile wireless systems are typically designed assuming worst-case propagation scenarios, a situation that occurs infrequently in real-life. To reduce power, we exploit the dynamic and statistical nature of wireless signals to aggressively scale the supply voltage using Voltage over Scaling (VoS) on buffering memory modules during run-time. VoS introduces a controlled amount of spatially random errors in embedded memory modules. This paper presents a novel approach to model VoS induced noise as Gaussian noise that can be analytically described to obtain the system performance in terms of BER and PER. Finally, a power management policy is presented that utilizes the available slack in the received SNR with the goal of minimizing power consumption, while keeping performance within normative margins. © 2013 IEEE.

Original language	English (US)
Title of host publication	Conference Record - Asilomar Conference on Signals, Systems and Computers
Publisher	IEEE Computer Societyhelp@computer.org
ISBN (Print)	9781479923908
DOIs	https://doi.org/10.1109/ACSSC.2013.6810664
State	Published - Jan 1 2013
Externally published	Yes

Access to Document

10.1109/ACSSC.2013.6810664

Cite this

@inproceedings{cffcce6a137c415cae17690d8213af36,

title = "Error-aware power management for memory dominated OFDM systems",

abstract = "Mobile wireless systems are typically designed assuming worst-case propagation scenarios, a situation that occurs infrequently in real-life. To reduce power, we exploit the dynamic and statistical nature of wireless signals to aggressively scale the supply voltage using Voltage over Scaling (VoS) on buffering memory modules during run-time. VoS introduces a controlled amount of spatially random errors in embedded memory modules. This paper presents a novel approach to model VoS induced noise as Gaussian noise that can be analytically described to obtain the system performance in terms of BER and PER. Finally, a power management policy is presented that utilizes the available slack in the received SNR with the goal of minimizing power consumption, while keeping performance within normative margins. {\textcopyright} 2013 IEEE.",

author = "Khairy, {Muhammad S.} and Eltawil, {Ahmed M.} and Kurdahi, {Fadi J.} and Amin Khajeh",

note = "Generated from Scopus record by KAUST IRTS on 2019-11-20",

year = "2013",

month = jan,

day = "1",

doi = "10.1109/ACSSC.2013.6810664",

language = "English (US)",

isbn = "9781479923908",

booktitle = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

publisher = "IEEE Computer Societyhelp@computer.org",

}

TY - GEN

T1 - Error-aware power management for memory dominated OFDM systems

AU - Khairy, Muhammad S.

AU - Eltawil, Ahmed M.

AU - Kurdahi, Fadi J.

AU - Khajeh, Amin

N1 - Generated from Scopus record by KAUST IRTS on 2019-11-20

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Mobile wireless systems are typically designed assuming worst-case propagation scenarios, a situation that occurs infrequently in real-life. To reduce power, we exploit the dynamic and statistical nature of wireless signals to aggressively scale the supply voltage using Voltage over Scaling (VoS) on buffering memory modules during run-time. VoS introduces a controlled amount of spatially random errors in embedded memory modules. This paper presents a novel approach to model VoS induced noise as Gaussian noise that can be analytically described to obtain the system performance in terms of BER and PER. Finally, a power management policy is presented that utilizes the available slack in the received SNR with the goal of minimizing power consumption, while keeping performance within normative margins. © 2013 IEEE.

AB - Mobile wireless systems are typically designed assuming worst-case propagation scenarios, a situation that occurs infrequently in real-life. To reduce power, we exploit the dynamic and statistical nature of wireless signals to aggressively scale the supply voltage using Voltage over Scaling (VoS) on buffering memory modules during run-time. VoS introduces a controlled amount of spatially random errors in embedded memory modules. This paper presents a novel approach to model VoS induced noise as Gaussian noise that can be analytically described to obtain the system performance in terms of BER and PER. Finally, a power management policy is presented that utilizes the available slack in the received SNR with the goal of minimizing power consumption, while keeping performance within normative margins. © 2013 IEEE.

UR - http://ieeexplore.ieee.org/document/6810664/

UR - http://www.scopus.com/inward/record.url?scp=84901253492&partnerID=8YFLogxK

U2 - 10.1109/ACSSC.2013.6810664

DO - 10.1109/ACSSC.2013.6810664

M3 - Conference contribution

SN - 9781479923908

BT - Conference Record - Asilomar Conference on Signals, Systems and Computers

PB - IEEE Computer Societyhelp@computer.org

ER -

Error-aware power management for memory dominated OFDM systems

Abstract

Access to Document

Other files and links

Fingerprint

Cite this