PROJECT TITLE :

Scenario-Aware Dynamic Power Reduction Using Bias Addition - 2017

ABSTRACT:

Typical trendy communication systems operate over a wide dynamic vary of signal strengths. We tend to take into account the approach of adding a bias as offset to scale back switching activity, and study the common bit toggle for signals with completely different distributions, as a operate of signal span and the actual bias value added. From the analysis, we provide guidelines to choose an optimal bias worth, based on the system scenario, to obtain all-time low power consumption. Simulation results ensure the accuracy of the theoretical analysis. Varied finite-impulse response filter architectures are evaluated, and we tend to propose suitable enhancements to them to enable improved power savings. We have a tendency to apply the bias addition technique and the proposed architectural enhancements to a wireless local area network digital receiver chain, and demonstrate that over 25percent power savings can be achieved beneath totally different signal conditions.