机器学习辅助射频集成电路设计实现:EDA 人工智能的新前沿.pdf

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机器学习辅助射频集成电路设计实现:EDA 人工智能的新前沿.pdf

1、ML-Assisted RFIC Design Enablement:The New Frontier of AI for EDAHyunsu Chae1,Song Hang Chai1,Taiyun Chi2,Sensen Li1,and David Z.Pan11University of Texas at Austin,Austin,Texas,USA2Rice University,Houston,Texas,USA1ASPDAC 2025:Invited paperRFIC(Radio Frequency Integrated Circuit)RFIC components are

2、fundamental in wireless systemsRFIC=active+passive components2Behzad Razavi,RF MicroelectronicsActive ComponentsPassive ComponentsRFIC=Active+PassiveActive-Passive interactions influence the overall RFIC performance3Active ComponentsPassive ComponentsProvides the essential power and gainSignal gener

3、ation,amplification,Define the frequency responseImpedance matching,filtering,phase shifting,stabilization,harmonic manipulation,CThe majority of RFIC design efforts are focused on passive design and optimizationNeed to balance different design objectives across frequenciesMinimize loss,maximize ban

4、dwidth,address impedance transformationFollows active component design and can limit their performanceOccupy most of chip areae.g.,the passive component in an RF power amplifier(PA)occupies over 80%of the core chip areaRFIC Passive Design Challenges4Li+,JSSC24Zhang+,TMTT23Zhang+,JSSC23ActivesComputa

5、tionally expensive simulations IterativeHeuristically-constrainedHigh entry barriers for new designersRFIC Passive Design FlowFast evaluation utilizing ML modelsAutomatedNon-intuitive and beyond humanLowered entry barriers for new designersComputationally expensive simulations IterativeHeuristically

6、-constrainedHigh entry barriers for new designersRFIC Passive Design FlowFast evaluation utilizing ML modelsAutomatedNon-intuitive and beyond humanLowered entry barriers for new designersReplace EM simulation with ML surrogate models for faster performance evaluation ML Surrogate ModelingEM simulati

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