Relay-Assisted Activation-Integrated SIM for Wireless Physical Neural Networks
Wireless physical neural networks (WPNNs) have emerged as a promising paradigm for performing neural computation directly in the physical layer of wireless systems, offering low latency and high energy efficiency. However, most existing WPNN implementations primarily rely on linear physical transformations, which fundamentally limits their expressiveness. In this work, we propose a relay-assisted WPNN architecture based on activation-integrated stacked intelligent metasurfaces (AI-SIMs), where each passive metasurface layer enabling linear wave manipulation is cascaded with an activation metasurface layer that realizes nonlinear processing in the analog domain. By deliberately structuring...
| Authors | Meng Hua, Deniz Gündüz |
|---|---|
| Primary category | eess.SP |
| Published | 5 April 2026 |
| Last updated at source | 5 April 2026 |
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