1. Rapid, Predictive Modeling for High Frequency Interconnect on Low Cost Substrates Jaemin Shin Advisor: Dr. Martin A. Brooke School of Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, GA 30332 April 2005 Dissertation Defense Presentation Spring, 2005

2. 2 Outline Objective Limitations of Electrical Board-level Interconnects Background Motivation Proposed Modeling Procedure Modeling of Straight Microstrip Lines Modeling of Serpentine Interconnects Conclusions

3. 3 Objective Our goal is to develop a rapid, predictive (scalable) measurement-based modeling method for high frequency interconnects on low cost substrates:  Modeling of interconnect structures  Prediction by scalability and interpolation  Evaluation of modeling performance with measured behaviors and a simulation tool.

4. 4 Outline Objective Limitations of Electrical Board-level Interconnects  Board-level Interconnect  Geometrical limitations at high frequency Background Motivation Proposed Modeling Procedure Modeling of Straight Microstrip Lines Modeling of Serpentine Interconnects Conclusions

5. 5 Board-level Interconnect in Telecommunication Backplane Interconnect Chip-to-chip Interconnect [1] http://www.ece.gatech.edu/research/labs/mag/mixed_signal/mixedsig3.htm

6. 6 Limitations of Electrical Board-level Interconnects 1 Signal integrity problems  Transmission-line effects High rising and falling time and delay time High channel loss of long channels  Non-ideal effects at high frequency Skin effect Frequency-dependent dielectric loss Manufacturing variations  Geometrical issues Geometrical discontinuity  Reflection loss (Echo effect) Dense connections  Self-coupling  Crosstalk Electromagnetic interference (EMI)

7. 7 Limitations of Electrical Board-level Interconnects 2 Switching noise High power consumption  Thermal problem Approaches to addressing the limitations Advanced electrical technology  High speed interconnect driver : LVDS, CML, and PECL  Clock & data recovering circuit (CDR)  High performance board material  Co-design with accurate channel model Optical interconnect technology  Optical technology VSCEL (Vertical Surface Cavity Emitting Laser), micro-mirror, and optical waveguide embedding techniques Contribution of this thesis work

8. 8 Trend of Board-level Interconnect According to 2003 ITRS (International Technology Roadmap of Semiconductor)  In near-term years, off-chip frequency will be to keep its speed lower than 10 GHz.  Most telecommunication companies have preferred the use of low cost FR4 materials.  Moreover, cost-performance and low-cost products occupy a considerable area of the market  Thus, interconnects on FR4 are still attractive.  However, at high frequency, FR4 material needs more design work with an efficient, accurate model to achieve acceptable electrical performance. [2] http://public.itrs.net/Files/2003ITRS/Home2003.htm

9. 9 Example 1: Long Straight Lines of Different Dielectric Materials 1 [3] http://www.tycoelectronics.com/products/simulation/files/papers/dc00brdh.pdf Four different board materials Configuration of striplines with 50-Ω characteristic impedance 12-mil wide, 18-inch long channel line Material ε r @1 MHz ε r @1 GHz tanδ @1GHz Relative Cost FR44.304.050.0201 GETEK4.154.000.0151.1 ROGERS 4350/4320 3.753.600.0092.1 ARLON CLTE3.153.050.0046.8

10. 10 [3] http://www.tycoelectronics.com/products/simulation/files/papers/dc00brdh.pdf Eye diagrams at 5 Gbps and 10 Gbps a) 5 Gbpsb) 10 Gbps Example 1: Long Straight Lines of Different Dielectric Materials 2

11. 11 Example 2: Long Straight Lines with a Via Straight transmission line with via Straight transmission line without via Low-cost FR4 material Microstrip with 50-Ω characteristic impedance Via connection Three different line lengths (1, 10 and 20cm) and three different speeds (1 G, 2.5 G and10 Gbps) ε r =4.3 130 mil 1.7 mil FR4 20 mil

12. 12 130-mil wide serpentine structures on FR4 board Coupling effects and bending effects Example 3: Interconnect Structures with Couplings and Bends 130-mil wide M-shaped serpentine structure with 130-mil spacing Bending effect & Line length 10Gbps Coupling effect 130-mil wide M-shaped serpentine structure with 65-mil spacing 130-mil wide 7-turn serpentine structure with 130-mil spacing

13. 13 Outline Objective Limitations of Electrical Board-level Interconnects Background  Non-ideal Effects  Previous Modeling Methods Motivation Proposed Modeling Procedure Modeling of Straight Microstrip Lines Modeling of Serpentine Interconnects Conclusions

14. 14 Non-ideal Effects on Transmission Line 1 Skin effect Skin depth =130mil

15. 15  Complex dielectric constant due to the electric polarization  Loss tangent Non-ideal Effects on Transmission Line 2 Frequency-dependent dielectric loss FR4 Polymide BT/Epoxy 951 Green Tape TM [4] D. I. Amey and S. J. Horowitz, "Materials performance at frequencies up to 20 GHz," presented at IEMT/IMC Symposium, 1997., 1st [Joint International Electronic Manufacturing Symposium and the International Microelectronics Conference], 1997.

16. 16 Non-ideal Effects on Transmission Line 3 Manufacturing variations  Composite ratio (glass- to- resin ratio)  Conductor surface roughness Too rough and random  Fabrication tolerance The need for statistical approaches Metal FR4 SEM (Scanning Electron Microscope) picture

17. 17 Previous Modeling Methods Earlier interconnect research: microwave and digital engineering  Microwave engineering: transmission lines in narrow bandwidths  Digital engineering: timing analysis at low frequency  High-frequency digital interconnect: frequency analysis based on the electromagnetic equations, numerical methods, and measurement techniques Three classical methods  Analytical equation-based method  Numerical full-wave-based method  Measurement-based method

18. 18 Direct derivation of a model from the fundamental electromagnetic equations Neither accurate nor practical unless the structures of interest are simple Not flexible Difficult to develop, in general Basic insight and background for the two following methods Analytical Equation-based Method

19. 19 Maxwell equation-based method Discretization of a structure into small segments to obtain accurate responses of the entire system (trade- off between accuracy and computational efficiency) Accurate and highly flexible Slow speed and extensive memory requirements for complex geometrical systems Difficult to incorporate the non-ideal effects such as frequency-dependent variables and manufacturing variations Numerical Full-wave-based Method

20. 20 Measured data in the frequency domain can be used to find circuit model parameters. Optimization techniques are used for the equivalent-circuit parameters Statistical modeling approaches can be applied to overcome the manufacturing variations The non-ideal effects are naturally incorporated Compatible with the existing circuit simulators Very accurate and fast Needs to be more flexible Measurement-based Method

21. 21 Motivation The need for an accurate, rapid model for interconnects on FR4 to address electrical board-level interconnect limitations at high frequency  FR4 material limitations  Non-ideal effects  Geometrical limitations  Inefficiency of numerical methods for complex structures Advantages of the measurement-based method compared with others  Easy: Compatibility with the circuit simulators  Efficient - Very fast simulation speed - No need for heavy computation resources  Accurate: Incorporation of the non-ideal effects  Statistical: Incorporation of the fabrication tolerance The need for improved flexibility: the use of scalability and interpolation can achieve this goal. Co-simulation and Co-design with circuits

22. 22 Proposed Modeling Procedure Determining the interconnect structures to be considered Defining building blocks Design and fabrication Calibration and measurement Extraction of EC-parameters using optimization Predicting other structures by using the scalable model and interpolation Verification with measured data Co-simulation and co-design with circuitry Statistical approaches Extension Initial modeling Generalization Generating model library

23. 23 Performance Evaluation Modeling performance attributes  Accuracy Frequency domain: Impedance parameters Time domain: Eye diagrams  Efficiency Computation resources Simulation times  Utility Limited to accessibility

24. 24 Measurement Setup Frequency response  Channel characterization Z-parameters converted from measured S-parameters  SOLT (Short-open-load-thru) calibration using 3.5 mm calibration kit  Vector network analyzer (VNA) Time response  Interconnect verification Eye diagrams  Pattern generator and digital oscilloscope VNA Device Under Test (DUT) Port 1Port 2 Pattern generator DUT Digital Oscilloscope

25. 25 Z21 Magnitude (dB) Z11 Magnitude (dB) Z21 Phase (degree) Z11 Phase (degree) Momentum simulation results of the 2400 mil microstrip with SMA connector Measured Momentum Momentum Simulation Momentum simulation Layout 2400 mils

26. 26 Outline Objective Limitations of Electrical Board-level Interconnects Background Motivation Modeling Procedure Modeling of Straight Microstrip Lines  Modeling Description  Results and Performance Comparison Modeling of Serpentine Interconnects Conclusions

27. 27 Building Block Diagrams and Equivalent Circuits Rectangular Building Block 50 mil SMA Building Block SMA Connector Building Block Rectangular Building Block 400-mil long line 800-mil long line

28. 28 Test Structures of the Straight Microstrip Lines 2400 mil long line 1600 mil long line 1200 mil long line800 mil long line 400 mil long line (Predictive model)

29. 29 Optimization of Equivalent-circuit Parameters 50 mil long microstrip building block SMA connector building block Measured s-parameter data block Equivalent-circuit block Optimization setup Initial values S-parameter simulation setup

30. 30 Optimized Z-parameter Data of the 400-mil Long Line MeasuredModeled Z21 Magnitude (dB) Z11 Magnitude (dB) Z21 Phase (degree) Z11 Phase (degree)

31. 31 Predicted Z-parameter Data of the 800-mil Long Line Z21 Magnitude (dB) Z11 Magnitude (dB) Z21 Phase (degree) Z11 Phase (degree) MeasuredModeled Momentum

32. 32 Z21 Magnitude (dB) Z11 Magnitude (dB) Z21 Phase (degree) Z11 Phase (degree) MeasuredModeled Momentum Predicted Z-parameter Data of the 2400-mil Long Line

33. 33 0 V 500 mV 0 V 500 mV 1 Gbps 2.5 Gbps 5 Gbps 7.5 Gbps10 Gbps Comparison of Eye Diagrams of the 2400-mil Long Line Measured eye diagrams Simulated eye diagrams using the predicted structure

34. 34 Simulation Time vs. Line Length Simulation Resources  a UNIX computer  500 MHz Ultra SPARC IIi CPU  2 G-byte memory

35. 35 Outline Objective Limitations of Electrical board-level Interconnects Background Motivation Modeling Procedure Modeling of Straight Microstrip Lines Modeling of Serpentine Interconnects  Modeling Description  Results and Performance Comparison  Interpolation Conclusions

36. 36 Building-block Diagrams and Equivalent Circuits SMA Connector Building Block Uncoupled Rectangular Building Block Coupled Rectangular Building Block U-shaped Building Block N-shaped structure M-shaped structure

37. 37 Combination of Equivalent Circuits Equivalent circuits of the N-shaped structure

38. 38 Test Structures 1 Predicting 3 different widths and 3 different spacings

39. 39 Test Structures 2 Four additional extended structures  130-mil width and 130-mil spacing (1S)  4-, 5-, 6- and 7- turn serpentine interconnect structures 4 turns 5 turns 6 turns 7 turns

40. 40 Predictive equivalent circuit block Measured s-parameter data block Optimization of Equivalent-circuit Parameters Optimization setup Uncoupled Rectangle SMA connector Coupled Rectangle U-shape Initial values Uncoupled Rectangle Mutual Coupling Element S-parameter simulation setup

41. 41 Optimized Z-parameter Data of the N-shaped Serpentine Structure Z21 Magnitude (dB) Z11 Magnitude (dB) Z21 Phase (degree) Z11 Phase (degree) MeasuredModeled

42. 42 Predicted Z-parameter Data of the M-shaped Serpentine Structure Z21 Magnitude (dB) Z11 Magnitude (dB) Z21 Phase (degree) Z11 Phase (degree) MeasuredModeled Momentum

43. 43 1 Gbps 2.5 Gbps 5 Gbps 7.5 Gbps10 Gbps Comparison of Eye Diagrams of the M-shaped Serpentine Structure Measured eye diagrams Simulated eye diagrams using the predicted structure 0 V 500 mV 0 V 500 mV

44. 44 Predicted Z-parameter Data of the 7-turn Serpentine Structure Z21 Magnitude (dB) Z11 Magnitude (dB) Z21 Phase (degree) Z11 Phase (degree) MeasuredModeled Momentum

45. 45 1 Gbps 2.5 Gbps 5 Gbps 7.5 Gbps10 Gbps Measured eye diagrams Simulated eye diagrams using the predicted structure 0 V 500 mV 0 V 500 mV Comparison of Eye Diagrams of the 7-turn Serpentine Structure

46. 46 Simulation Time vs. Number of Turns Simulation Resources  a UNIX computer  500 MHz Ultra SPARC IIi CPU  2 G-byte memory N-shapedM-shaped

47. 47 Interpolation 104-mil width (-20%) 156-mil width (+20%) 65-mil spacing (0.5 S) 260-mil spacing (2 S) 130-mil width and 130-mil spacing (1S) Width-interpolation Spacing-interpolation N-shaped Structure Interpolation

48. 48 Z-parameter Data of N-shaped Structure Predicted by Width-interpolation Z21 Magnitude (dB) Z11 Magnitude (dB) Z21 Phase (degree) Z11 Phase (degree) MeasuredModeled Predicted Z-parameter data of the 130-mil wide N-shaped serpentine structure

49. 49 1 Gbps 2.5 Gbps 5 Gbps 7.5 Gbps10 Gbps Measured eye diagrams Simulated eye diagrams using the predicted structure obtained by width- interpolation Comparison of Eye Diagrams of the Predicted N-shaped Structure by Width-interpolation 0 V 500 mV 0 V 500 mV

50. 50 Z-parameter Data of M-shaped Structure Predicted by Width-interpolation Z21 Magnitude (dB) Z11 Magnitude (dB) Z21 Phase (degree) Z11 Phase (degree) MeasuredModeled Z-parameter data of the 130-mil wide M-shaped serpentine structure predicted using EC-parameters of the width-interpolated N-shaped structure

51. 51 1 Gbps 2.5 Gbps 5 Gbps 7.5 Gbps10 Gbps Measured eye diagrams Simulated eye diagrams using the width-interpolated predicted structure Comparison of Eye Diagrams of the Predicted M-shaped Structure using the EC-parameters of the Width-interpolated N-shaped Structure 0 V 500 mV 0 V 500 mV

52. 52 Z-parameter Data of N-shaped Structure Predicted by Spacing-interpolation Z21 Magnitude (dB)Z11 Magnitude (dB) Z21 Phase (degree) Z11 Phase (degree) MeasuredModeled Predicted Z-parameter data of the N-shaped serpentine structure with 130-mil spacing (1S)

53. 53 1 Gbps 2.5 Gbps 5 Gbps 7.5 Gbps10 Gbps Measured eye diagrams Simulated eye diagrams using the spacing-interpolated predictive model Comparison of Eye Diagrams of the Predicted N-shaped Structure Obtained by Spacing-interpolation 0 V 500 mV 0 V 500 mV

54. 54 Predicted Z-parameter Data of M-shaped Structure by Spacing-interpolation Z21 Magnitude (dB) Z11 Magnitude (dB) Z21 Phase (degree) Z11 Phase (degree) MeasuredModeled Z-parameter data of the M-shaped serpentine structure with 130-mil spacing (1S) predicted using EC-parameters of the spacing-interpolated N-shaped structure

55. 55 1 Gbps 2.5 Gbps 5 Gbps 7.5 Gbps10 Gbps Measured eye diagrams Simulated eye diagrams from the predictive model by spacing-interpolation Comparison of Eye Diagrams of the Predicted M-shaped Structure using EC-parameters of the Spacing-interpolated N-shaped Structure 0 V 500 mV 0 V 500 mV

56. 56 Conclusions A rapid, predictive measurement-based modeling method was developed for high-frequency interconnects on FR4. Our method was applied to the modeling of straight microstrip lines and serpentine interconnect structures. The predictive power of the developed scalable models was demonstrated in several extended interconnect structures, and the ability to use interpolation to predict the high frequency performance of structures with differently sized building blocks was demonstrated. The usefulness of this predictive method was validated by comparing our predictions with measurements both in the frequency and time domains and by comparing our predictions with the ADS momentum simulations in terms of efficiency and accuracy. Therefore, this proposed high-frequency interconnect modeling method is not only efficient but accurate as well, compared with the measured behaviors and the momentum simulation. Furthermore, the interpolation enable fast accurate predictions for variations of interconnects in width and spacing.

57. 57 Publications Generated 1) J. Shin, C.-S. Seo, A. Chellappa, M. Brooke, A. Chattejce and N. M. Jokerst, "Comparison of electrical and optical interconnect," Electronic Components and Technology Conference, 2003. 2) O. Bourdreaux, S.-Y. Cho, J. Shin, A. Chellappa, D. Schimmel, M. Brooke and N. M. Jokerst, "Optical chip-to-chip interconnects for memory systems," presented at Lasers and Electro-Optics Society, LEOS, the 16th Annual Meeting of the IEEE, 2003. 3)C. Cha, J. Shin, Z. huang, N. M. Jokerst and M. Brooke, “High-Frequency Equivalent Circuit-Level Model of MSM PD for Optical Front-end Receiver Applications,” presented at Asia Pacific Microwave conference, APMC 2003. 4)N. M. Jokerst, T. K. Gaylord, E. Glytsis, M. A. Brooke, S. Cho, T. Nonaka, T. Suzuki, D. L. Geddis, J. Shin, R. Villalaz, J. Hall, A. Chellapa and M. Vrazel,"Planar lightwave integrated circuits with embedded actives for board and substrate level optical signal distribution," Advanced Packaging, IEEE Transactions on [see also Components, Packaging and Manufacturing Technology, Part B: Advanced Packaging, IEEE Transactions on], vol. 27, pp. 376-385, 2004. 5) J. Shin, C. Cha, S. Cho, J. Kim, N. M. Jokerst and M. Brooke,"FR4 printed circuit board design for Giga-bits embedded optical interconnect applications," presented at Electronic Components and Technology, ECTC '04. Proceedings, 2004. 6) J. Shin, S.-W. Seo, S.-Y. Cho, J. H. Kim, M. Brook and N. M. Jokerst,"Embedded photodetectors in polymer waveguides for optical interconnect integrated with a Si-Ge transimpedance amplifier circuit operating at 2.5 Gbit/s,"presented at Biophotonics/Optical Interconnects and VLSI Photonics/WBM Microcavities, Digest of the LEOS Summer Topical Meetings, 2004. 7)J. H. Kim, J. Shin, C. Cha, N. Jokerst and M. Brooke, “Wideband multiple resonance small-signal laser diode model for the co-design of laser drive circuits,” presented at the 47th Midwest Symposium, 2004. 8) J. Shin, J. H. Kim, C. Cha, N. M. Jokerst and M. Brooke,”Rapid, Predictive Measurement-based Modeling for High Frequency Interconnect on FR4 Substrate,” accepted at Electronic Components and Technology, 2005. 9)J. H. Kim, J. Shin, C. Cha, N. M. Jokerst, and M. A. Brooke, “An Improved Wideband Laser Diode Lumped Element Equivalent Circuit Model for the Optoelectronic Circuit Design,” submitted at Information and Communication Engineers (IEICE) Transactions on Information and Systems, 2005

58. 58 Question Thank You