Joint Design of Coding and Modulation for Digital Over-the-Air Computation
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Abstract (arXiv)
Due to its high communication efficiency, over-the-air computation (AirComp) has been expected to carry out various computing tasks in the next-generation wireless networks. However, up to now, most applications of AirComp are explored in the analog domain, which limits the capability of AirComp in resisting the complex wireless environment, not to mention to integrate the AirComp technique to the existing universal communication standards, most of which are based on the digital system. In this paper, we propose a joint design of channel coding and digital modulation for digital AirComp transmission to attempt to reinforce the foundation for the application of AirComp in the digital system. Specifically, we first propose a non-binary LDPC-based channel coding scheme to enhance the error-correction capability of AirComp. Then, a digital modulation scheme is proposed to achieve the number summation from multiple transmitters via the lattice coding technique. We also provide simulation results to demonstrate the feasibility and the performance of the proposed design.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Nov 2023.
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Citing papers per year: 2024: 1; 2025: 2; 2026: 1.
4 papers.
- 2024Scalable and Reliable Over-the-Air Federated Edge Learningcited by 1
- 2025VecComp: Vector Computing via MIMO Digital Over-the-Air Computationcited by 1
- 2025Learned Digital Codes for Over-the-Air Computation in Federated Edge Learningcited by 0
- 2026AirGC-CD: Gaussian-Circulant Precoding for Exactly Debiasable PAPR Reduction in Over-the-Air Federated Learningcited by 0
- 2026AirGC-CD: Gaussian-Circulant Precoding for Exactly Debiasable PAPR Reduction in Over-the-Air Federated Learning19 Sep 2026
- 2025Learned Digital Codes for Over-the-Air Computation in Federated Edge Learning22 Dec 2025
- 2025VecComp: Vector Computing via MIMO Digital Over-the-Air Computation4 Nov 2025
- 2024Scalable and Reliable Over-the-Air Federated Edge Learning16 Jul 2024