Energy-Efficient RF-Optics Multi-Beam Systems Using Correlation Technologies: Toward Hybrid GaN-FDSOI Front-End-Modules

In this paper, we propose hybrid GaN-FDSOI Front-End-Modules (FEMs) combined with lens-based mmWave antenna modules for energy-efficient multibeamforming systems. X-topology Lattice-based balanced (LB) and unbalanced (LU) differential switches are designed and fabricated using FDSOI platforms for building scalable multibeamforming FEMs. Unified mmWave and Baseband correlation technologies based on energy density and EVM (Error Vector Magnitude) metrics are introduced for low complexity (leveraging sparsity of MIMO channels) cost-effective multi-beamforming systems. Combination of convolutional accelerators with analog signal processing for linking beamselection algorithms to stochastic-wave-shaping (SWS) will create new paradigms for eliminating the concept of elements in arrays and replacing it by the vision of radiating current flows over a textured surface (metasurface or metavohime). The radiating metasurfaces or metavolumes which can be conformal to the patterned optical lenses are fed by a limited number of emitting/receiving points. The use of time-modulated correlation functions will foster new system architectures with critical functionalities including direction of arrival (DOA) estimation and secure communications.

Automated summary

This paper proposes hybrid GaN-FDSOI Front-End-Modules (FEMs) combined with lens-based mmWave antenna modules for energy-efficient multibeamforming systems. Balanced and unbalanced differential switches are designed and fabricated using FDSOI platforms for building scalable multibeamforming FEMs. Unified mmWave and Baseband correlation technologies based on energy density and EVM metrics are introduced for low complexity cost-effective multi-beamforming systems.