Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Yizhuo, Zhu, Yi, Qian, Kun, Chen, Qinyu, Zhu, Anding, Gajadharsing, John, de Vreede, Leo C. N., Gao, Chang
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TCN-DPD: Parameter-Efficient Temporal Convolutional Networks for Wideband Digital Predistortion
by: Duan, Huanqiang, et al.
Published: (2025)

MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers
by: Wu, Yizhuo, et al.
Published: (2024)

SparseDPD: A Sparse Neural Network-based Digital Predistortion FPGA Accelerator for RF Power Amplifier Linearization
by: Versluis, Manno, et al.
Published: (2025)

OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion
by: Wu, Yizhuo, et al.
Published: (2024)

DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm$^2$ Recurrent Neural Network Accelerator for Wideband Power Amplifier Digital Pre-Distortion
by: Li, Ang, et al.
Published: (2024)

DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference
by: Qi, Jiawen, et al.
Published: (2025)

OpenDPDv2: A Unified Learning and Optimization Framework for Neural Network Digital Predistortion
by: Wu, Yizhuo, et al.
Published: (2025)

Block-Weighted Lasso for Joint Optimization of Memory Depth and Kernels in Wideband DPD
by: Wang, Jinfei, et al.
Published: (2025)

Walsh-domain Neural Network for Power Amplifier Behavioral Modelling and Digital Predistortion
by: Thys, Cel, et al.
Published: (2024)

Digital Predistortion of Power Amplifiers for Quantum Computing
by: Jaeger, Marvin, et al.
Published: (2026)

Exploiting Non-uniform Quantization for Enhanced ILC in Wideband Digital Pre-distortion
by: Wang, Jinfei, et al.
Published: (2025)

Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography
by: Qian, Kun, et al.
Published: (2023)

Hybrid Beamforming Design for Integrated Sensing and Communication Exploiting Prior Information
by: Wang, Yizhuo, et al.
Published: (2024)

A Learning Method for Optimal Chirp Predistortion
by: Kandala, Averal N., et al.
Published: (2026)

Distributed Integrated Sensing and Edge AI Exploiting Prior Information
by: Dong, Biao, et al.
Published: (2025)

Neural-HAR: A Dimension-Gated CNN Accelerator for Real-Time Radar Human Activity Recognition
by: Wu, Yizhuo, et al.
Published: (2025)

Companding and Predistortion Techniques for Improved Efficiency and Performance in SWIPT
by: Fernández, Santiago, et al.
Published: (2023)

Sub-THz Power Amplifiers: Measurements, Behavioral Modeling and Predistortion Algorithms
by: Samara, Lutfi, et al.
Published: (2025)

Channel Estimation for Beyond Diagonal RIS Exploiting Core Tensor Sparsity
by: Araújo, Daniel Costa, et al.
Published: (2026)

Time vs. Frequency Domain DPD for Massive MIMO: Methods and Performance Analysis
by: Wu, Yibo, et al.
Published: (2024)

Over-the-Air DPD and Reciprocity Calibration in Massive MIMO and Beyond
by: Sheikhi, Ashkan, et al.
Published: (2024)

NN-Based Frequency Domain DPD for OFDM Massive MIMO Transmitters With Multiple States
by: Zhang, Yundi, et al.
Published: (2025)

Exploiting Structured Sparsity in Near Field: From the Perspective of Decomposition
by: Guo, Xufeng, et al.
Published: (2024)

Wideband Relative Transfer Function (RTF) Estimation Exploiting Frequency Correlations
by: Bologni, Giovanni, et al.
Published: (2024)

Variational Inference of Structured Line Spectra Exploiting Group-Sparsity
by: Möderl, Jakob, et al.
Published: (2023)

Exploiting Dynamic Sparsity for Near-Field Spatial Non-Stationary XL-MIMO Channel Tracking
by: Xu, Wenkang, et al.
Published: (2024)

Multifunctional Wideband Digital Metasurface for Secure Electromagnetic Manipulation in S-Band
by: Wang, Longpan, et al.
Published: (2025)

Wideband Integrated Sensing and Communications: Spectral Efficiency and Signaling Design
by: Pu, Henglin, et al.
Published: (2025)

Movable-Element STARS-Assisted Near-Field Wideband Communications
by: Zhu, Guangyu, et al.
Published: (2025)

Codebook Design and Performance Analysis for Wideband Beamforming in Terahertz Communications
by: Ning, Boyu, et al.
Published: (2024)

Exploiting Age of Information in Network Digital Twins for AI-driven Real-Time Link Blockage Detection
by: Zhu, Michele, et al.
Published: (2025)

Wideband Coverage Enhancement for IRS-Aided Wireless Networks Based on Power Measurement
by: Yan, Ge, et al.
Published: (2025)

A Highly Efficient Two‐Sided Temporal Convolutional Neural Network for Wideband Digital Predistortion of RF Power Amplifiers
by: Haithem Rezgui, et al.
Published: (2026)

Channel Estimation for Movable Antenna Aided Wideband Communication Systems
by: Xiao, Zhenyu, et al.
Published: (2024)

Secure ISAC MIMO Systems: Exploiting Interference With Bayesian Cramér-Rao Bound Optimization
by: Su, Nanchi, et al.
Published: (2024)

Overlap-Summation-Based Pulse Shaping Transceiver for Affine Frequency Division Multiplexing
by: Zhang, Haojian, et al.
Published: (2026)

Exploiting Movable Antennas in Multicast Communications
by: Cheng, Zhenqiao, et al.
Published: (2024)

Performance Analysis and Optimization for Movable Antenna Aided Wideband Communications
by: Zhu, Lipeng, et al.
Published: (2024)

Learning Wideband User Scheduling and Hybrid Precoding with Graph Neural Networks
by: Liu, Shengjie, et al.
Published: (2025)

Ultra-Wideband Transmission Systems From an Energy Perspective: Which Band is Next?
by: Sohanpal, Ronit, et al.
Published: (2026)