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 [email protected]
ER -