Efficient and Accurate Method for Separating Variant Components from Invariant Background and Component Model Fusion for Fast RFIC Design Space Exploration

TL;DR

This paper introduces a fast, algebraic method to separate invariant background effects from variant components in RFIC design, enabling efficient simulation and exploration of large design spaces.

Contribution

It presents a novel algebraic decomposition technique that isolates variant components from the invariant background, reducing computational effort in RFIC design space exploration.

Findings

Significantly reduces simulation time for RFIC variants.

Maintains high accuracy and robustness in modeling.

Enables efficient reuse of background simulations across variants.

Abstract

The design of RFIC often involves exploring a large number of design variations in an invariant background composed of the processing stack and unchanged circuit blocks. Conventional electromagnetic solvers require a full-domain simulation for every design variation. In this work, we present a fast method that effectively separates the variant components from the invariant background. It algebraically decomposes the total field solution into the contributions from the design-dependent variations and the invariant background. Hence, the field response due to the invariant background can be simulated once and reused for all design variations. Only the variant components need to be simulated at each design variation, the size of which is small. We also develop an efficient way of reusing the model of each component and fusing them accurately to obtain the model of a system composed of many components. The reduced system of variant components involves computing the field solutions in the invariant background due to all possible sources located at variant components, the number of which can be large. We develop a fast algorithm to reduce them to a few field solutions, the number of which is on the order of the layer number. The proposed method has been applied to RFIC design space exploration. Its accuracy, robustness, and efficiency have been demonstrated.