概括
数据中心的光学链接将越来越多地使用四级脉冲振幅调制 (PAM4) 收发器. 一个新的概率噪声消除 (PNC) 算法为数据中心网络 (DCN) 中的数字信号处理 (DSP) 提供了更好的性能.
科学领域:
- 光学通信是指光学通信的应用.
- 数据中心网络数据中心网络.
- 数字信号处理是数字信号处理.
背景情况:
- 具有四级脉冲振幅调制 (PAM4) 的强度调制和直接检测 (IMDD) 系统被设置为主导数据中心 (DC) 和短距离光学链路.
- 未来的100Gbaud PAM4收发器需要先进的数字信号处理 (DSP) 和前置错误校正 (FEC) 代码.
- 带宽限制挑战了传统的DSP,需要从线性前均等器 (FFE) 升级到更复杂的算法,如Volterra均等器,最大概率序列估计 (MLSE) 或最大后期概率 (MAP).
研究的目的:
- 为数据中心网络 (DCN) 引入一种新的,低复杂度,低延迟的等分算法.
- 为了解决复杂的DSP算法的局限性,如决策反均衡器 (DFE) 和MLSE/MAP,由于DCN中的功率和延迟限制.
- 为了提高光学收发器在带宽有限的环境中的性能.
主要方法:
- 开发了一种名为概率噪声取消 (PNC) 的新型前均衡算法.
- 在带宽限制下,PNC算法根据它们的概率权衡噪声模式.
- 有效地纠正由送等效器 (FFE) 中噪声染色引起的相关错误.
主要成果:
- 拟议的PNC算法在DFE和MLSE之间实现了性能.
- 它为DCN中的DSP提供了低复杂度和低延迟的解决方案.
- 在带宽有限的频道中,通过噪声染色引发的错误的有效纠正.
结论:
- 在下一代数据中心收发器中,PNC算法为先进的DSP提供了可行的替代方案.
- 它符合DCN的严格功耗和延迟要求.
- PNC提高了在带宽限制下运行的光学链路的可靠性.
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