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DC25_SLIDES_Track09_PostFECBERAnalysisof200Gbs_Barrie_V2.pdf

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1、Information Classification:GeneralWelcome to ConferenceJanuary 2830,2025Santa Clara Convention Center1ExpoJanuary 2930,2025 Information Classification:GeneralPost-FEC BER Analysis of 200 Gb/s Wireline Systems using an FPGA PlatformRichard Barrie,(University of Toronto)Ming Yang,(University of Toront

2、o/Alphawave Semi)Richard Barrie(University of Toronto),Ming Yang(University of Toronto/Alphawave Semi)Hossein Shakiba(Huawei Technologies Canada),Anthony Chan Carusone(University of Toronto/Alphawave Semi)2Information Classification:GeneralSpeakersRichard BarrieUniversity of TorontoRichard.barrieisl

3、.utoronto.caRichard Barrie received his M.A.Sc.degree from the University of Toronto in 2024.His research interests are in system modeling and design for high-speed communications.Ming YangUniversity of Toronto/Alphawave SemiMing.yangisl.utoronto.caMing Yang received his Ph.D.from the University of

4、Toronto in 2024.He works as a systems engineer at Alphawave Semi.3Information Classification:GeneralOutline41.Background2.Motivation3.Existing methods of FEC analysis4.FPGA platform overview5.Case study6.ConclusionInformation Classification:GeneralOutline51.Background2.Motivation3.Existing methods o

5、f FEC analysis4.FPGA platform overview5.Case study6.ConclusionInformation Classification:GeneralBackground6Wireline links facilitate high-speed digital communicationDifferent applications use different communication protocolsEthernet used for inter-datacenter communicationForward error correction(FE

6、C)is used to achieve reliable communication100 Gb/s:End-to-end FEC200 Gb/s:Concatenated FECInformation Classification:GeneralOutline71.Background2.Motivation3.Existing methods of FEC analysis4.FPGA platform overview5.Case study6.ConclusionInformation Classification:GeneralMotivation8Factors that imp

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1. **研究目的**:开发基于FPGA的200Gb/s有线系统后FEC BER分析平台,解决传统软件仿真速度慢、统计模型无法复杂架构的问题。 2. **核心数据**: - 仿真速度达10,000倍于软件,时钟150MHz,并行核心数(AWGN通道200核心/30Gb/s,全系统8核心/1.2Gb/s)。 - 软判决解码相比硬判决显著提升性能,卷积交织进一步优化(如AWGN通道中SD Hamming(68,60)+KP4)。 3. **关键点**: - 支持复杂链路建模(级联FEC、预编码、交织)。 - 案例验证:软判决内码在电气/光链路中增益显著,交织提供额外小幅提升。 4. **应用价值**:助力标准制定和收发器系统设计。
**FEC加速技术** 如何利用FPGA平台实现200Gb/s线缆系统的FEC分析,相比传统方法有何优势? **交织器作用** 在 concatenated FEC 架构中,卷积交织器如何提升系统性能?具体效果如何? **软解码优势** 软决策解码相比硬决策解码在200Gb/s系统中能带来多大的性能提升?
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