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Communication Dans Un Congrès Année : 2023

On the Role of Noise in Integrated Wave-Based Sensing and Computing with Dynamic Metasurface Antennas

Résumé

Metamaterial-based information extraction (sensing and imaging using dynamic metasurface antennas, DMAs, and reconfigurable intelligent surfaces, RISs) and information processing (metamaterial wave computers) are to date rarely combined, and the essential role of noise in information theory is mostly neglected. To combine wave-based sensing with wave-based signal processing, we interpret the sensor’s measurement process as an over-the-air analog computation performed on the information contained within the scene. The plurality of programmable meta-atoms in DMAs and RISs allows us to tailor the realized over-the-air analog operation to a specific sensing task. Thereby, the sensor’s measurement process simultaneously becomes a task-specific processing step. This allows our measurement to preferentially extract task-relevant information, such that the sensor’s latency improves remarkably. Using a discrete-dipole approximation of the programmable meta-atoms, we optimize the metamaterial configurations using deep-learning tools for a prototypical object recognition task under different noise conditions. We show that we can understand “macroscopic” properties of the optimized task-specific metamaterial configurations, for instance, how the overlap and intensity of the resulting scene illuminations evolve with the noise level. Our results are directly relevant to 6G wireless networks that require low-latency sensing capabilities under realistic, hence noisy, conditions.
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Dates et versions

hal-04297457 , version 1 (21-11-2023)

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Chenqi Qian, Philipp Del Hougne. On the Role of Noise in Integrated Wave-Based Sensing and Computing with Dynamic Metasurface Antennas. 2023 Seventeenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials), Sep 2023, Chania, Greece. pp.X-270-X-272, ⟨10.1109/Metamaterials58257.2023.10289454⟩. ⟨hal-04297457⟩
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