高通量极地码解码器与信息瓶量子化
Claus Kestel1, Lucas Johannsen1, Norbert Wehn1
1Microelectronic Systems Design Research Group, RPTU Kaiserslautern-Landau, 67663 Kaiserslautern, Germany.
Entropy (Basel, Switzerland)
|June 26, 2024
概括
有效的前向错误校正 (FEC) 解码器实现是移动宽带的关键. 本研究使用基于信息瓶 (IB) 的量化来优化极点码解码器,实现显著的面积和能量增长.
科学领域:
- 数字通讯数字通讯数字通讯
- 错误纠正编码的错误编码
- 在VLSI设计设计中,
背景情况:
- 前向错误校正 (FEC) 单元在数字基带处理中是计算密集的.
- 高效的FEC解码器实施对于下一代移动宽带标准至关重要.
- 量子化显著影响解码器面积,功耗和吞吐量,较低的比特宽度降低了错误校正能力.
研究的目的:
- 提出基于信息瓶 (IB) 的非统一量子化方法,以实现高效的极性码解码器实现.
- 为了解决低位宽度之间的权衡,以提高效率,并保持必要的信息以纠错错误.
- 通过使用基于IB的量子化来呈现优化的快速简化连续取消 (Fast-SSC) 极性代码解码器实现.
主要方法:
- 使用信息瓶 (IB) 方法进行非统一的量化.
- 开发了优化的快速简化连续取消 (Fast-SSC) 极性码解码器实现.
- 使用先进的12nm FinFET技术进行了放置和路由,用于合成和能量估计.
主要成果:
- 使用基于IB的量子化实现了高达16%的面积增长.
- 通过基于IB的量子化,证明了高达13%的能源效率提高.
- 结果在10-7的错误率 (FER) 得到验证,极点代码为N=1024,R=0.5.5.
结论:
- 基于IB的量子化为实施快速SSC极性码解码器提供了显著的优势.
- 拟议的方法可以减少面积和提高能源效率,而不会影响错误纠正性能.
- 这种方法对于推进需要高效数字基带处理的移动宽带标准至关重要.
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