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A Neural-Network-Based Approach to Smarter DPD Engines (Download)

Sept. 12, 2025
Log in to download the PDF of this article on using an AI-driven digital-predistortion framework to overcome signal distortion and energy inefficiency in power amplifiers.

Read this article online.

Launched by OpenAI in November 2022, ChatGPT became one of the fastest-adopted software products, showcasing the potential of artificial intelligence (AI). Machine learning (ML), a subset of AI, is transforming industries by enabling tasks such as decision-making and data analysis. In communications, AI and ML are advancing digital predistortion (DPD), a technique critical for reducing signal distortion and improving power-amplifier (PA) efficiency. 

Traditional DPD models may struggle with nonlinearities and memory effects in modern communication systems like 5G. They assume that the PA’s behavior is static and memory-less, relying on polynomial models that only account for instantaneous input-output relationships.