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Non-Coherent Over-the-Air Distributed Consensus: Algorithm Design and Power Control Optimization

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Key Insights

  • Non-coherent over-the-air (NCOTA) aggregation offers a scalable and communication-efficient approach to distributed average consensus in wireless networks, without requiring instantaneous channel stat.
Cite this synthesis DOI: 10.48550/arXiv.2611.03378 ↗
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@misc{ acaciadata-research-non-coherent-over-the-air-distributed-consensus-algorithm-de,
  title = { Non-Coherent Over-the-Air Distributed Consensus: Algorithm Design and Power Control Optimization },
  author = { Leszek },
  year = { 2026 },
  doi = { 10.48550/arXiv.2611.03378 },
  url = { http://arxiv.org/abs/2611.03378v1 },
  note = {Summarized and classified by AcaciaFund}
}
TY  - GEN
TI  - Non-Coherent Over-the-Air Distributed Consensus: Algorithm Design and Power Control Optimization
AU  - Leszek
PY  - 2026
DO  - 10.48550/arXiv.2611.03378
UR  - http://arxiv.org/abs/2611.03378v1
ER  -

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Overview

Non-coherent over-the-air (NCOTA) aggregation offers a scalable and communication-efficient approach to distributed average consensus in wireless networks, without requiring instantaneous channel stat

Key Topics

  • Distributed Systems: A theme covered by this item within the data engineering context.

Why It Matters

This item adds to the data engineering knowledge base. Practitioners can use it to stay current on Non-Coherent Over-the-Air Distributed Consensus: Algorithm Design and Power Control Optimization, but should validate its claims against primary sources and more recent work before relying on it in production decisions.

Key Takeaways

  • Understand how Non-Coherent Over-the-Air Distributed Consensus: Algorithm Design and Power Control Optimization relates to data engineering workflows and controls.
  • Assess evidence quality and freshness before acting on the findings.
  • Use the tagged topics to connect this item to related content in the library.
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