Interference Alignment for Multi-cluster Over-the-Air Computation
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911193988333568 |
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| author | Sempéré, Lucas Bi, Yue Wu, Yue Gu, Pengwenlong Boumerdassi, Selma |
| author_facet | Sempéré, Lucas Bi, Yue Wu, Yue Gu, Pengwenlong Boumerdassi, Selma |
| contents | 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 $\sf K$ of clusters and enables each cluster to exploit half of the available channels, instead of only $\tfrac{1}{\sf K}$ as in time-sharing. In addition, we develop schemes tailored to scenarios where users are shared between adjacent clusters. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_04745 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Interference Alignment for Multi-cluster Over-the-Air Computation Sempéré, Lucas Bi, Yue Wu, Yue Gu, Pengwenlong Boumerdassi, Selma Signal Processing 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 $\sf K$ of clusters and enables each cluster to exploit half of the available channels, instead of only $\tfrac{1}{\sf K}$ as in time-sharing. In addition, we develop schemes tailored to scenarios where users are shared between adjacent clusters. |
| title | Interference Alignment for Multi-cluster Over-the-Air Computation |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2510.04745 |