Probabilistic shaping benefits and practicality for higher-order QAM

Georg Böcherer, P. Schulte, Fabian Steiner
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引用次数: 2

Abstract

Probabilistic shaping schemes and their benefits are reviewed. Probabilistic Amplitude Shaping (PAS) is presented, a layered architecture currently considered for industrial applications. Implementation challenges and proposed solutions are discussed, including distribution matching algorithms for shaping, integration with forward error correction, and digital signal processing.
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高阶QAM的概率成形效益及实用性
综述了概率整形方案及其优点。概率振幅整形(PAS)是目前工业应用中考虑的一种分层结构。讨论了实现挑战和提出的解决方案,包括整形的分布匹配算法、前向纠错集成和数字信号处理。
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