English

Interference Alignment for Multi-cluster Over-the-Air Computation

Signal Processing 2025-10-07 v1

Abstract

One of the main challenges facing Internet of Things (IoT) networks is managing interference caused by the large number of devices communicating simultaneously, particularly in multi-cluster networks where multiple devices simultaneously transmit to their respective receiver. Over-the-Air Computation (AirComp) has emerged as a promising solution for efficient real-time data aggregation, yet its performance suffers in dense, interference-limited environments. To address this, we propose a novel Interference Alignment (IA) scheme tailored for up-link AirComp systems. Unlike previous approaches, the proposed method scales to an arbitrary number K\sf K of clusters and enables each cluster to exploit half of the available channels, instead of only 1K\tfrac{1}{\sf K} as in time-sharing. In addition, we develop schemes tailored to scenarios where users are shared between adjacent clusters.

Keywords

Cite

@article{arxiv.2510.04745,
  title  = {Interference Alignment for Multi-cluster Over-the-Air Computation},
  author = {Lucas Sempéré and Yue Bi and Yue Wu and Pengwenlong Gu and Selma Boumerdassi},
  journal= {arXiv preprint arXiv:2510.04745},
  year   = {2025}
}
R2 v1 2026-07-01T06:18:57.825Z