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arXiv · 2609.26565

Quantum-Aided Active Device Detection in Energy-Harvesting Symbiotic Radio Networks

Remon Polus·Deemah Tashman·Soumaya Cherkaoui
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Abstract

Massive connectivity in next-generation networks demands energy- and spectrum-efficient solutions for large-scale Internet of Things (IoT) deployments. Symbiotic radio (SR) enables passive IoT devices to communicate by backscattering existing cellular transmissions. A key challenge in uplink SR is active device detection (ADD), which directly affects decoding reliability, interference management, and system throughput. We propose an energy-harvesting code-domain non-orthogonal multiple access (NOMA)-SR system in which IoT devices harvest energy from ambient uplink signals and backscatter information using low-density spreading (LDS) codes. To reduce the complexity of ADD, Grover's quantum search algorithm is employed, providing a quadratic reduction in oracle-query complexity over exhaustive maximum-likelihood (ML) search. Numerical results show that the proposed approach closely approaches ML performance while substantially reducing the number of search iterations, demonstrating its potential for scalable ambient IoT systems.

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Remon Polus, Deemah Tashman, Soumaya Cherkaoui. 2026-09-22. Quantum-Aided Active Device Detection in Energy-Harvesting Symbiotic Radio Networks. https://arxiv.org/abs/2609.26565

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