mlsanityData to 13 Oct 2026

DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems

arXiv 2212.07816 ↗First posted 15 Dec 2022cs.IT cs.LG eess.SPcited by 1

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Abstract (arXiv)

Iterative detection and decoding (IDD) is known to achieve near-capacity performance in multi-antenna wireless systems. We propose deep-unfolded interleaved detection and decoding (DUIDD), a new paradigm that reduces the complexity of IDD while achieving even lower error rates. DUIDD interleaves the inner stages of the data detector and channel decoder, which expedites convergence and reduces complexity. Furthermore, DUIDD applies deep unfolding to automatically optimize algorithmic hyperparameters, soft-information exchange, message damping, and state forwarding. We demonstrate the efficacy of DUIDD using NVIDIA's Sionna link-level simulator in a 5G-near multi-user MIMO-OFDM wireless system with a novel low-complexity soft-input soft-output data detector, an optimized low-density parity-check decoder, and channel vectors from a commercial ray-tracer. Our results show that DUIDD outperforms classical IDD both in terms of block error rate and computational complexity.

Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Builds on 15 of its 38 references that are in the map. First posted on arXiv 15 Dec 2022.

Builds on

15 of 38 references.

References · 15

  1. 2022Sionna: An Open-Source Library for Next-Generation Physical Layer Researchcited by 145
  2. 2017Deep Learning-Based Communication Over the Aircited by 72
  3. 2017Deep Learning Methods for Improved Decoding of Linear Codescited by 66
  4. 2018Learning to Detectcited by 63
  5. 2020Toward a 6G AI-Native Air Interfacecited by 55
  6. 2019Deep Unfolding for Communications Systems: A Survey and Some New Directionscited by 49
  7. 2018Model-free Training of End-to-end Communication Systemscited by 30
  8. 2019Adaptive Neural Signal Detection for Massive MIMOcited by 27
  9. 2019Trainable Communication Systems: Concepts and Prototypecited by 22
  10. 2022An Overview of 5G Advanced Evolution in 3GPP Release 18cited by 14
  11. 2022Graph Neural Networks for Channel Decodingcited by 10
  12. 2022Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communicationcited by 7
3 more
  1. 2022Bit Error and Block Error Rate Training for ML-Assisted Communicationcited by 6
  2. 2019What Can Machine Learning Teach Us about Communications?cited by 4
  3. 2022Leveraging Deep Neural Networks for Massive MIMO Data Detectioncited by 3

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Learning-to-Transition for Large-scale and High-Order MIMO Detectioncited by 0