Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems
This addresses a domain-specific problem in quantum-enhanced communications for grant-free device access systems, representing an incremental improvement.
The paper tackles joint channel estimation and user identification in grant-free communications systems by introducing a variational quantum circuit as a denoising solution, with numerical results showing it outperforms modern compressed sensing techniques using element-wise denoisers.
This paper introduces a new quantum computing framework integrated with a two-step compressed sensing technique, applied to a joint channel estimation and user identification problem. We propose a variational quantum circuit (VQC) design as a new denoising solution. For a practical grant-free communications system having correlated device activities, variational quantum parameters for Pauli rotation gates in the proposed VQC system are optimized to facilitate to the non-linear estimation. Numerical results show that the VQC method can outperform modern compressed sensing techniques using an element-wise denoiser.