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

Hongyang Liu, Dan Jiao

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.

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

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.
Paper Structure (7 sections, 9 equations, 3 figures)

This paper contains 7 sections, 9 equations, 3 figures.

Table of Contents

  1. Introduction
  2. Proposed Method
  3. Efficient Computation
  4. Numerical Results
  5. Validation of the Efficient Computation of Numerical Green's Function
  6. Design Exploration of an RFIC Composed of Three-Transformers
  7. Conclusion

Figures (3)

  • Figure 1: Illustration of the proposed seed-and-shift method. (a) Seed excitation $\mathbf{e}_{s7}$ radiates as seed solution $\mathbf{s}_{7}$. (b) Component source $\mathbf{e}_{j_i}$ radiates as $\overline{\mathbf{G}}_k(\mathbf{p})$'s $i$-th column. (c) Calculate shift vector $\mathbf{R}$ to obtain $\overline{\mathbf{G}}_k(\mathbf{p})$'s $i$-th column from $\mathbf{s}_{7}$.
  • Figure 2: 3-D illustration of the three-transformer system.
  • Figure 3: Representative crosstalk result: Magnitude of $S_{15}$ at 54 GHz as a function of the center-to-center distance $d_1$.