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Scale-Free Beamforming using Swarm Arrays for Remote Sensing under Interference
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Scale-Free Beamforming using Swarm Arrays for Remote Sensing under Interference

Bradley Hamilton, Raghu Mudumbai, Soura Dasgupta and Benjamin Peiffer
ArXiv.org
arXiv
07/03/2026
DOI: 10.48550/arxiv.2607.03499
url
https://doi.org/10.48550/arxiv.2607.03499View
Preprint (Author's original) This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

We consider a swarm array of autonomous relays that seek to cooperatively forward a desired signal to a fusion center with the maximum possible fidelity while canceling out a number of interferers. We present a distributed algorithm for computing the optimal zero-forcing beamforming weights at the relays without requiring prior channel knowledge. Crucially, our algorithm is ıt scale-free in the sense that the computational and bandwidth overheads are completely independent of the size of the array. We build on recent work that introduced the concept of a Collective Array that enables such ıt scale-free computation by imposing a constraint that the array must always function as a ıt swarm i.e. array elements can only ever communicate with external nodes collectively and never individually. While this is a very severe restriction, we show that it allows useful computations such as zero-forcing beamforming while being robust to noise and channel time-variations.
Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Information Theory Mathematics - Information Theory

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