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DeltaDPD: Exploiting Dynamic Temporal Sparsity in Recurrent Neural Networks for Energy-Efficient Wideband Digital Predistortion

  • Digital Predistortion (DPD) is widely used to improve signal quality in wideband RF power amplifiers.
  • DeltaDPD is introduced to address energy efficiency challenges faced by DPD, utilizing dynamic temporal sparsity in recurrent neural networks.
  • DeltaDPD reduces computational complexity, arithmetic operations, and memory accesses while maintaining good linearization performance.
  • In testing with a 3.5 GHz GaN Doherty RF PA, DeltaDPD achieved significant improvements in ACPR, NMSE, and EVM metrics with a 1.8X reduction in estimated inference power.

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