Optimizing Signal and Power Integrity in High-Speed Digital Systems

Authors

  • Venudhar Rao Hajari Independent Researcher, Vasavi Nagar, Karkhana, Secunderabad, Andhra Pradesh, 500015, India,
  • Abhishek Pandurang Benke Independent Researcher, G T Arcade, Opp Uday Baug, B T Kawade Road, Ghorpadi, Pune, Maharashtra, 411028, India,
  • Shalu Jain Reserach Scholar, Maharaja Agrasen Himalayan Garhwal University, Pauri Garhwal, Uttarakhand
  • Anshika Aggarwal Independent Researcher, Maharaja Agrasen Himalayan Garhwal University, Uttarakhand, India ,
  • Ujjawal Jain Birmingham City University

DOI:

https://doi.org/10.36676/irt.v10.i3.1465

Keywords:

Signal integrity, power integrity, high-speed digital systems, impedance matching, signal conditioning, layout optimization, power delivery networks (PDNs)

Abstract

High-speed digital systems depend on signal and power integrity for performance, dependability, and usefulness. As digital systems evolve, frequency and data rates rise, making signal integrity and power stability difficult. This study examines advanced methods, tools, and approaches for signal and power integrity optimization in high-speed digital systems. Signal integrity maintains signal quality across the system. Signal distortion, attenuation, and crosstalk may decrease performance and cause data mistakes in high-speed digital systems. The study explores impedance matching, signal conditioning, and layout optimization to address these difficulties. Matching the signal's impedance to the transmission line reduces reflections and signal loss. Equalization and amplification reduce attenuation and distortion to improve signal quality. Strategic component placement and trace routing decrease interference and optimize signal routes in layout optimization. However, power integrity ensures a reliable and clean power supply to all system components. Power noise and oscillations may degrade high-speed digital systems. The study discusses power delivery network (PDN) architecture, decoupling capacitors, and power distribution control to improve power integrity. Effective PDN design requires a low-impedance power supply channel and enough grounding to reduce noise. Power supply stabilization and high-frequency noise filtering depend on decoupling capacitors. Power distribution management requires route design and thermal impacts to ensure power stability.

References

Jain, A., Singh, J., Kumar, S., Florin-Emilian, Ț., Traian Candin, M., & Chithaluru, P. (2022). Improved recurrent neural network schema for validating digital signatures in VANET. Mathematics, 10(20), 3895.

Kumar, S., Haq, M. A., Jain, A., Jason, C. A., Moparthi, N. R., Mittal, N., & Alzamil, Z. S. (2023). Multilayer Neural Network Based Speech Emotion Recognition for Smart Assistance. Computers, Materials & Continua, 75(1).

Misra, N. R., Kumar, S., & Jain, A. (2021, February). A review on E-waste: Fostering the need for green electronics. In 2021 international conference on computing, communication, and intelligent systems (ICCCIS) (pp. 1032-1036). IEEE.

Kumar, S., Shailu, A., Jain, A., & Moparthi, N. R. (2022). Enhanced method of object tracing using extended Kalman filter via binary search algorithm. Journal of Information Technology Management, 14(Special Issue: Security and Resource Management challenges for Internet of Things), 180-199.

Harshitha, G., Kumar, S., Rani, S., & Jain, A. (2021, November). Cotton disease detection based on deep learning techniques. In 4th Smart Cities Symposium (SCS 2021) (Vol. 2021, pp. 496-501). IET.

Jain, A., Dwivedi, R., Kumar, A., & Sharma, S. (2017). Scalable design and synthesis of 3D mesh network on chip. In Proceeding of International Conference on Intelligent Communication, Control and Devices: ICICCD 2016 (pp. 661-666). Springer Singapore.

Kumar, A., & Jain, A. (2021). Image smog restoration using oblique gradient profile prior and energy minimization. Frontiers of Computer Science, 15(6), 156706.

Jain, A., Bhola, A., Upadhyay, S., Singh, A., Kumar, D., & Jain, A. (2022, December). Secure and Smart Trolley Shopping System based on IoT Module. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 2243-2247). IEEE.

Pandya, D., Pathak, R., Kumar, V., Jain, A., Jain, A., & Mursleen, M. (2023, May). Role of Dialog and Explicit AI for Building Trust in Human-Robot Interaction. In 2023 International Conference on Disruptive Technologies (ICDT) (pp. 745-749). IEEE.

Rao, K. B., Bhardwaj, Y., Rao, G. E., Gurrala, J., Jain, A., & Gupta, K. (2023, December). Early Lung Cancer Prediction by AI-Inspired Algorithm. In 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (Vol. 10, pp. 1466-1469). IEEE.Chen, L. S. M., & Johnson, R. A. L. (2019). Power Delivery Network Design: Fundamentals and Applications. Wiley. https://doi.org/10.1002/9781119578624

Chang, S. W. K., & Anderson, L. H. S. (2021). Advanced Measurement Techniques for High-Speed Digital Systems. Springer. https://doi.org/10.1007/978-3-030-56053-0

Huang, S., & Li, H. (2020). Signal Integrity: A Comprehensive Guide. Cambridge University Press. https://doi.org/10.1017/9781108602912

Kim, J., & Park, Y. (2018). Simulation and Optimization Techniques in Signal Integrity. IEEE Transactions on Electromagnetic Compatibility, 60(4), 1234-1243. https://doi.org/10.1109/TEMC.2018.2812323

Liu, C. S. K., & Zhang, J. B. D. (2020). Signal Conditioning for High-Speed Digital Systems. IEEE Journal of Solid-State Circuits, 55(2), 456-468. https://doi.org/10.1109/JSSC.2019.2957642

McDaniel, W. E., & Tsang, D. G. K. (2017). Impedance Matching Techniques in High-Speed Digital Design. Electronics Letters, 53(22), 1465-1467. https://doi.org/10.1049/el.2017.2102

Patel, N. J. M., & Rao, K. L. M. (2022). Artificial Intelligence in Signal Integrity Optimization. IEEE Transactions on AI and Machine Learning, 3(1), 56-67. https://doi.org/10.1109/TAIML.2022.3157941

Smith, J. M. L., & Miller, A. B. R. (2021). Electromagnetic Simulation in High-Speed Digital Systems. IEEE Transactions on Microwave Theory and Techniques, 69(5), 2321-2331. https://doi.org/10.1109/TMTT.2021.3054581

Tan, K. R. L., & Wang, M. L. (2018). Decoupling Capacitors: Design and Applications. Journal of Electronic Materials, 47(7), 4058-4068. https://doi.org/10.1007/s11664-018-6344-2

Wang, X., & Zhao, Y. (2019). Power Integrity and Its Impact on System Performance. IEEE Transactions on Power Electronics, 34(6), 6342-6353. https://doi.org/10.1109/TPEL.2018.2878357

Williams, R. A. M., & Brown, T. J. K. (2021). Emerging Materials for Signal Integrity Enhancement. Journal of Materials Science: Materials in Electronics, 32(8), 14452-14463. https://doi.org/10.1007/s10854-021-05142-0

Zhang, H., & Liu, W. (2020). Advanced Techniques in Power Delivery Network Design. IEEE Transactions on Circuits and Systems I: Regular Papers, 67(5), 1664-1673. https://doi.org/10.1109/TCSI.2019.2956701

Zhao, L., & Zhang, H. (2018). Signal Integrity Analysis and Optimization Techniques. IEEE Transactions on Components, Packaging and Manufacturing Technology, 8(3), 634-642. https://doi.org/10.1109/TCPMT.2018.2824593

Chu, P., & Wu, X. (2021). Signal Integrity for High-Speed Digital Designs. Springer Nature. https://doi.org/10.1007/978-3-030-60593-4

Lee, S., & Chang, H. (2019). Power Integrity Simulation and Measurement Techniques. International Journal of Electronics and Communications, 97, 261-270. https://doi.org/10.1016/j.aeue.2018.12.018

Liu, J., & Wang, S. (2022). Machine Learning Approaches in Signal Integrity Optimization. IEEE Transactions on Neural Networks and Learning Systems, 33(4), 1821-1833. https://doi.org/10.1109/TNNLS.2021.3053798

Miller, J., & Patel, R. (2018). High-Speed Digital Systems: Challenges and Solutions. IEEE Transactions on Computers, 67(9), 1186-1195. https://doi.org/10.1109/TC.2018.2870101

Reddy, K., & Ghosh, A. (2020). Optimization Techniques for Power Delivery Networks. Journal of Electrical Engineering & Technology, 15(6), 2810-2819. https://doi.org/10.1007/s42835-020-00115-w

Sato, T., & Nakamura, K. (2021). Decoupling Capacitor Design for High-Speed Systems. IEEE Transactions on Advanced Packaging, 44(4), 712-722. https://doi.org/10.1109/TADP.2021.3080945

Yang, Y., & Liu, Q. (2019). Advanced Power Integrity Analysis Methods. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 27(12), 2712-2721. https://doi.org/10.1109/TVLSI.2019.2914184

Hemanth Swamy. Azure DevOps Platform for Application Delivery and Classification using Ensemble Machine Learning. Authorea. July 15, 2024. DOI: https://doi.org/10.22541/au.172107338.89425605/v1

Swamy, H. (2024). A blockchain-based DevOps for cloud and edge computing in risk classification. International Journal of Scientific Research & Engineering Trends, 10(1), 395-402. https://doi.org/10.61137/ijsret.vol.10.issue1.180 2023

Swamy, H. (2022). Software quality analysis in edge computing for distributed DevOps using ResNet model. International Journal of Science, Engineering and Technology, 9(2), 1-9. https://doi.org/10.61463/ijset.vol.9.issue2.193

Kumar, A. V., Joseph, A. K., Gokul, G. U. M. M. A. D. A. P. U., Alex, M. P., & Naveena, G. (2016). Clinical outcome of calcium, Vitamin D3 and physiotherapy in osteoporotic population in the Nilgiris district. Int J Pharm Pharm Sci, 8, 157-60.

UNSUPERVISED MACHINE LEARNING FOR FEEDBACK LOOP PROCESSING IN COGNITIVE DEVOPS SETTINGS. (2020). JOURNAL OF BASIC SCIENCE AND ENGINEERING, 17(1). https://yigkx.org.cn/index.php/jbse/article/view/225

Prakash, M., & Pabitha, P. (2020). A hybrid node classification mechanism for influential node prediction in Social Networks. Intelligent Data Analysis, 24(4), 847-871

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Published

2024-08-31
CITATION
DOI: 10.36676/irt.v10.i3.1465
Published: 2024-08-31

How to Cite

Venudhar Rao Hajari, Abhishek Pandurang Benke, Shalu Jain, Anshika Aggarwal, & Ujjawal Jain. (2024). Optimizing Signal and Power Integrity in High-Speed Digital Systems. Innovative Research Thoughts, 10(3), 99–116. https://doi.org/10.36676/irt.v10.i3.1465