A multi-task learning model for super resolution of wireless channel characteristics
Channel modeling has always been the core part in communication system design and
development, especially in 5G and 6G era. Traditional approaches like stochastic channel …
development, especially in 5G and 6G era. Traditional approaches like stochastic channel …
Super Resolution of Wireless Channel Characteristics: A Multi-Task Learning Model
Channel modeling has always been the core part of the design and development of
communication system, especially in the sixth-generation (6G) era. Traditional approaches …
communication system, especially in the sixth-generation (6G) era. Traditional approaches …
Reduction of Noise Power by Iterative Short-Term Power Delay Profile Estimation
F Ojika, T Yamazato, M Saito, H Omote… - 2023 IEEE 97th …, 2023 - ieeexplore.ieee.org
This paper proposes a new estimation method of short-term power delay profile to reduce
the noise power included in the short-term power delay profile. By reducing the noise, the …
the noise power included in the short-term power delay profile. By reducing the noise, the …
Super-resolution of Ray-tracing Channel Simulation via Attention Mechanism based Deep Learning Model
As an emerging approach, deep learning plays an increasingly influential role in channel
modeling. Traditional ray tracing (RT) methods of channel modeling tend to be inefficient …
modeling. Traditional ray tracing (RT) methods of channel modeling tend to be inefficient …
Hybrid PO Method in Beam Tracing for Wireless Channel Simulation
Y Li, Y Wu, X Yin, L Yang, H Lin - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Beam tracing (BT) method with Geometrical Optics (GO) theory are commonly used in
wireless channel simulation. However, the GO method can only calculate the scattered field …
wireless channel simulation. However, the GO method can only calculate the scattered field …