In recent years, deep learning has evolved as a rapidly growing and stimulating field of
machine learning and has redefined state-of-the-art performances in a variety of …

Orthogonal Time Frequency Space (OTFS) is a promising modulation scheme that works in
the delay-Doppler (DD) domain, offering resistance to frequency selective fading and time …

Communication receivers based on deep learning have become a research hotspot in
recent years. However, the excessive computational complexity and storage complexity …

The upcoming sixth generation (6G) of wireless communication systems is expected to
enable a wide range of new applications in vehicular communication. However, the use of …

The support of artificial intelligence (AI) is a key element in future 6G networks, where the
concept of native AI will be introduced. Moreover, AI is widely employed in different critical …

Nonlinearity is a major problem to reduce energy efficiency in High Power Amplifier (HPA),
which is a result due of the limited physical HPA structure manufacturing design. This …

Vehicular communications present several challenges, especially in wireless channel
estimation to ensure communications reliability in a highly dynamic environment, where …

This work proposes a generalized learning architecture for vehicular channel estimation
using the Ensemble Learning (EL) technique applied to a method based on the long-term …

요 약고 이동성을 가지는 환경에서 무선통신 채널은 도플러 천이 (Doppler shift) 와 다중경로
페이딩 (Fading) 의 영향으로 이중 분산되는 특징을 가진다. 전통적 채널 추정 방식에서는 높은 …