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DC25_PAPER_Track07_IBISAMIModelingSimulationDMT_Rao_V6.pdf

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1、 Information Classification:General IBIS-AMI Modeling and Simulation of DMT in Preparation for 448Gbps Applications Fangyi Rao,Keysight Technologies fangyi_ Hongtao Zhang,AMD Jinbiao Xu,AMD Geoff Zhang,AMD Information Classification:General Abstract DMT(Discrete Multi-Tone),or its related ideas such

2、 as OFDM(Orthogonal Frequency Division Multiplexing)and FBMC(Filter-Bank Multi-Carrier),could potentially be adopted for the next generation of data rate,i.e.,448Gbps/lane.However,this type of signaling,which is fundamentally different from conventional PAM,is not included in the existing IBIS-AMI m

3、odeling.In preparation of the potential use of DMT modulation,this paper discusses how IBIS-AMI modeling can be extended to include DMT.After the DMT fundamentals are introduced,details of standardization of IBIS-AMI modeling are addressed,including functional partitioning between the model and the

4、EDA tool,the specifications of DLL input and output waveforms and parameters,synchronization of sub-channel PAM/QAM configurations between TX and RX DLLs,are discussed,with specific example illustrations.Information Classification:General Author Biographies Fangyi Rao is a master R&D engineer at Key

5、sight Technologies.He received his Ph.D.degree in theoretical physics from Northwestern University.He joined Agilent/Keysight ESoft in 2006 and works on Analog/RF and SI simulation technologies in ADS.From 2003 to 2006 he was with Cadence Design Systems,where he developed SpectreRF Harmonic Balance

6、technology and high order perturbation analysis method for nonlinear circuits.Prior to 2003 he worked in the areas of EM simulation,nonlinear device modeling,and medical imaging.Hongtao Zhang received his Ph.D.degree in Electrical and Computer Engineering from University of California,San Diego in 2

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1. **DMT调制优势**:DMT通过子信道划分和比特加载提升频谱效率,适用于448Gbps/lane高速链路,其窄带特性简化了均衡(标量乘法),增强对信道凹陷的容忍度。 2. **IBIS-AMI建模扩展**:TX DLL封装比特加载、QAM映射、IFFT、CP插入及DAC;RX DLL处理同步、ADC、FFT、均衡及比特恢复,通过文件传递配置(如采样率、子信道数)。 3. **仿真结果**: - 100GHz采样率:实际速率200.08Gbps,BER 3.42×10⁻⁵;120GHz采样率:242.96Gbps,BER 3.64×10⁻⁴。 - 比特加载优于均匀QAM(如QAM64在100GHz下BER 9.37×10⁻³)。 - DAC/ADC分辨率提升(9bit/8bit)降低BER,量化噪声影响显著。
DMT如何提升速率? DMT有何优势? DMT如何建模?
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