The application of the optimized genetic algorithm in SerDes circuit design

被引:0
|
作者
Wei, Xuan [1 ]
机构
[1] Xidian Univ, Sch Microelect, Xian 710071, Shaanxi, Peoples R China
关键词
Genetic algorithm; SerDes circuit; Amplifier; Clock and data recovery circuit; Selection and substitution algorithm; NETWORKS; CLOCK;
D O I
10.1016/j.mejo.2024.106509
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In modern high-speed communication systems, the main function of Serializer/Deserializer (SerDes) is to convert parallel data into high-speed serial data streams at the sending end to reduce the number and complexity of transmission lines. This study aims to solve the complex design problem of replacing inefficient, traditional parallel structures with high-speed serial interface SerDes. The Genetic Algorithm (GA) is optimized by adding a selection and substitution procedure, and the optimized GA is applied to the common-source amplifier. The lowfrequency gain, bandwidth, and slew rate target circuit optimization design are completed. Additionally, the Clock and Data Recovery (CDR) circuit in SerDes is analyzed and designed. The CDR structure based on phase selector/phase interpolator type is used as the CDR circuit of the high-speed serial interface, enabling the final circuit function and performance to meet the requirements. Simulation experiments denote that the optimized GA can ensure that the evolved parameters allow the transistor to work in the saturation region to complete the common-drain amplifier's circuit optimization design. After 250 generations of evolution, the maximum gain of 0.75 is roughly achieved at an input voltage of 1.2V and a Metal Oxide Semiconductor (MOS) transistor width of 20 mu m. The energy consumption per bit of data in the circuit based on the optimized GA is 16.8 pJ, 19.6 % lower than the 20.1 pJ of the conventional circuit before optimization. Therefore, the multi-objective circuit optimization design with a moderate gain is realized.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Automated design approach for analog circuit using genetic algorithm
    Xia, Xuewen
    Li, Yuanxiang
    Ying, Weiqin
    Chen, Lei
    COMPUTATIONAL SCIENCE - ICCS 2007, PT 4, PROCEEDINGS, 2007, 4490 : 1124 - +
  • [22] Speciation-based genetic algorithm in analog circuit design
    Karci, Hasari
    Tohumoglu, Gulay
    Nacaroglu, Arif
    TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2016, 24 (03) : 1022 - 1033
  • [23] A Novel Genetic Algorithm with Cell Crossover for Circuit Design Optimization
    Bao, Zhiguo
    Watanabe, Takahiro
    ISCAS: 2009 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-5, 2009, : 2982 - 2985
  • [24] A New Approach for Circuit Design Optimization using Genetic Algorithm
    Bao, Zhiguo
    Watanabe, Takahiro
    ISOCC: 2008 INTERNATIONAL SOC DESIGN CONFERENCE, VOLS 1-3, 2008, : 383 - 386
  • [25] An Immune Genetic Algorithm with Orthogonal Initialization for Analog Circuit Design
    Xu, Hai-Qin
    Ding, Yong-Sheng
    Liu, Hao
    Li, Xiao-Li
    INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, ICIC 2012, 2012, 7390 : 59 - 66
  • [26] REVERSE DESIGN OF POLYMERS - APPLICATION OF GENETIC ALGORITHM
    NAGASAKA, K
    YADA, T
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1993, 206 : 23 - PMSE
  • [27] Genetic algorithm and its application in lens design
    Chen, XG
    Yamamoto, K
    CURRENT DEVELOPMENTS IN OPTICAL DESIGN AND ENGINEERING VI, 1996, 2863 : 216 - 221
  • [28] Application of genetic algorithm in asphalt pavement design
    Tsai, BW
    Kannekanti, VN
    Harvey, JT
    BITUMINOUS PAVING MIXTURES 2004, 2004, (1891): : 112 - 120
  • [29] Application of a genetic algorithm to wind turbine design
    Selig, MS
    CoverstoneCarroll, VL
    JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 1996, 118 (01): : 22 - 28
  • [30] Application of genetic algorithm in architectural conceptual design
    School of Information Science and Technology, Shandong Normal University, Ji'nan 250014, China
    Ruan Jian Xue Bao, 2006, SUPPL. (161-168):