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TopoCode: Topologically Informed Error Detection and Correction in Communication Systems

  • arXiv (Cornell University)
  • Cornell University
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Abstract

Traditional error detection and correction codes focus on bit-level fidelity, which is insufficient for emerging technologies like eXtended Reality (XR) and holographic communications requiring high-data-rate, low-latency systems. Bit-level metrics cannot comprehensively evaluate Quality-of-Service (QoS) in these scenarios. This letter proposes TopoCode which leverages Topological Data Analysis (TDA) and persistent homology to encode topological information for message-level error detection and correction. It introduces minimal redundancy while enabling effective data reconstruction, especially in low Signal-to-Noise Ratio (SNR) conditions. TopoCode offers a promising approach to meet the demands of next-generation communication systems prioritizing semantic accuracy and message-level integrity.

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Publication details

DOI
10.48550/arxiv.2411.12825
OpenAlex
W4404648611
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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