Modeling of Time-varying Wireless Communication Channel with Fading and Shadowing

arXiv:2405.08199v1 Announce Type: new
Abstract: The real-time quantification of the effect of a wireless channel on the transmitting signal is crucial for the analysis and the intelligent design of wireless communication systems for various services. Recent mechanisms to model channel characteristics independent of coding, modulation, signal processing, etc., using deep learning neural networks are promising solutions. However, the current approaches are neither statistically accurate nor able to adapt to the changing environment. In this paper, we propose a new approach …

abstract analysis arxiv coding communication cs.lg design eess.sp etc independent intelligent modeling processing quantification real-time services signal systems type wireless