Title :
Low-power AEC-based MIMO signal processing for Gigabit Ethernet 1000Base-T transceivers
Author :
Wang, Lei ; Shanbhag, Naresh R.
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
Abstract :
Presented in this paper is a low-power technique, denoted as MIMO-AEC, to reduce energy dissipation in multi-input-multi-output (MIMO) signal processing systems. The proposed technique extends a previously proposed adaptive error-cancellation (AEC) technique to MIMO systems by employing an algorithm transformation denoted as MIMO-DECOR. The purpose of MIMO-DECOR is to reduce complexity by exploiting correlations inherent in MIMO systems, thereby improving the effectiveness of AEC. We employ the MIMO-AEC in the design of a low-power Gigabit Ethernet 1000Base-T device. Simulation results demonstrate 44.3% - 25.2% overhead reduction due to MIMO-DECOR and 69.1% - 64.2% energy savings over conventional implementations with no loss in algorithmic performance
Keywords :
MIMO systems; adaptive filters; adaptive signal processing; data communication equipment; digital filters; digital signal processing chips; error correction; local area networks; low-power electronics; transceivers; AEC-based MIMO signal processing; Gigabit Ethernet 1000Base-T transceivers; MIMO-AEC; MIMO-DECOR; adaptive error cancellation technique; adaptive filter; algorithm transformation; complexity reduction; digital filtering; energy dissipation reduction; energy-efficient DSP algorithms; energy-efficient DSP architectures; low-power technique; multi-input multi-output signal processing systems; Adaptive signal processing; Delay; Digital signal processing; Energy dissipation; Ethernet networks; MIMO; Signal processing; Signal processing algorithms; Transceivers; Voltage;
Conference_Titel :
Low Power Electronics and Design, International Symposium on, 2001.
Conference_Location :
Huntington Beach, CA
Print_ISBN :
1-58113-371-5
DOI :
10.1109/LPE.2001.945428
