mlsanityData to 14 Oct 2026

Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks

arXiv 2304.00446 ↗First posted 2 Apr 2023eess.SP cs.LGcited by 6

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Abstract (arXiv)

We develop an efficient and near-optimal solution for beamforming in multi-user multiple-input-multiple-output single-hop wireless ad-hoc interference networks. Inspired by the weighted minimum mean squared error (WMMSE) method, a classical approach to solving this problem, and the principle of algorithm unfolding, we present unfolded WMMSE (UWMMSE) for MU-MIMO. This method learns a parameterized functional transformation of key WMMSE parameters using graph neural networks (GNNs), where the channel and interference components of a wireless network constitute the underlying graph. These GNNs are trained through gradient descent on a network utility metric using multiple instances of the beamforming problem. Comprehensive experimental analyses illustrate the superiority of UWMMSE over the classical WMMSE and state-of-the-art learning-based methods in terms of performance, generalizability, and robustness.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 33 of its 61 references that are in the map. First posted on arXiv 2 Apr 2023.

Builds on

33 of 61 references.

References · 33

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21 more
  1. 2019Deep Unfolding for Communications Systems: A Survey and Some New Directionscited by 49
  2. 2018Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasoundcited by 44
  3. 2020Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systemscited by 44
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  5. 2018Towards Optimal Power Control via Ensembling Deep Neural Networkscited by 38
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 1; 2026: 2.

6 papers.

  1. 2025Deep Unfolding: Recent Developments, Theory, and Design Guidelinescited by 7
  2. 2024Biased Backpressure Routing Using Link Features and Graph Neural Networkscited by 2
  3. 2026Generative Diffusion Models of Stochastic Graph Signalscited by 2
  4. 2024Learning Non-myopic Power Allocation in Constrained Scenarioscited by 0
  5. 2024Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep Unrollingcited by 0
  6. 2026Agentic AI for Bilevel Long-Term Optimization of Policy-Driven Physical Layer Systemscited by 0