Designing Low -Power Communication Systems via Noise-Tolerance

We develop the soft-decision channel (SDC) model for deriving the lower bounds on energy dissipation of noisy digital systems. We compare the energy-efficiency bounds for domino and noise-tolerant dynamic circuits, and demonstrate that noise-tolerant techniques improve the energy-efficiency when operating at the lower bound. Furthermore, we show that the gap between the lower bounds and the actual energy dissipation is reduced significantly via noise-tolerance. We propose the metric of average noise threshold energy (ANTE) to quantify the noise-immunity and propose an energy-efficient, noise-tolerant dynamic circuit technique referred to as the mirror technique. Simulation results in a 0.35-mum CMOS technology are provided in comparison to static and domino circuits. A MAC ASIC design is presented along with the measured results. We investigate the reliability degradation due to leakage in two ∼0.1-mum CMOS technologies. Two performance metrics, unity noise gain (UNG) and four-stage delay, are proposed to quantify the noise-immunity and speed, respectively. We also propose an energy-efficient, noise-tolerant circuit technique, the boosted-source (BS) technique, for wide fan-in OR gates. We propose the adaptive error-cancellation (AEC) as a practical ANT technique suitable for low-power broadband signal processing. An energy-optimum AEC design strategy is proposed and extended to the design of multi-input, multi-output (MIMO) communication systems. Simulation results of a Gigabit Ethernet 1000Base-T transceiver are evaluated.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Wang, Lei

Contributors dc:contributor

• Shanbhag, Naresh R.

• Engineering, Electronics and Electrical

Language dc:language

eng

Identifier

(MiAaPQ)AAI3023227

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/80742