Title :
Low-power MIMO signal processing
Author :
Wang, Lei ; Shanbhag, Naresh R.
Author_Institution :
Microprocessor Technol. Labs., Hewlett Packard Co., Fort Collins, CO, USA
fDate :
6/1/2003 12:00:00 AM
Abstract :
In this paper, we present a new adaptive error-cancellation (AEC) technique, denoted as multi-input-multi-output (MIMO)-AEC, for the design of low-power MIMO signal processing systems. The MIMO-AEC technique builds on the previously proposed AEC technique by employing an algorithm transformation denoted as MIMO decorrelating (MIMO-DECOR) transform. MIMO-DECOR reduces complexity by exploiting correlations inherent in MIMO systems, thereby improving the energy efficiency of AEC. The proposed MIMO-AEC enables energy minimization of MIMO systems by correcting transient/soft errors that arise in very large scale integration signal processing implementations due to inherent process nonidealities and/or aggressive low-power design styles, such as voltage overscaling. We employ the MIMO-AEC in the design of a low-power Gigabit Ethernet 1000Base-T device. Simulation results indicate 69.1%-64.2% energy savings over optimally voltage-scaled present-day systems with no loss in algorithmic performance.
Keywords :
MIMO systems; decorrelation; error compensation; signal processing; Gigabit Ethernet 1000Base-T device; MIMO decorrelating transform; MIMO signal processing; MIMO-DECOR; adaptive error-cancellation technique; algorithm transformation; energy efficiency; low-power design styles; multi-input-multi-output-AEC; very large scale integration; voltage overscaling; voltage-scaled present-day systems; Adaptive signal processing; Decorrelation; Energy efficiency; Error correction; MIMO; Signal design; Signal processing; Signal processing algorithms; Very large scale integration; Voltage;
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
DOI :
10.1109/TVLSI.2003.812367