Targeting to potential evolution of future wireless systems, precise channel estimation is
regarded as one of the fundamental prerequisites. In this paper, we focus on Machine …

Multicarrier modulation allows for deploying wideband systems resilient to multipath fading
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …

Deep learning has demonstrated the important roles in improving the system performance
and reducing computational complexity for 5G-and-beyond networks. In this paper, we …

Deep learning (DL), a branch of artificial intelligence (AI) techniques, has shown great
promise in various disciplines such as image classification and segmentation, speech …

In previous paper series, we proposed a Machine-Learning (ML) based channel estimator
and investigated it from different aspects. For the nature of its iterative architecture, it was …

In this paper, we investigate channel estimation techniques for 5G multicarrier systems. Due
to the characteristics of the 5G application scenarios, channel estimation techniques have …

Channel estimation forms one of the central component in current Orthogonal Frequency
Division Multiplexing (OFDM) systems that aims to eliminate the inter-symbol interference by …

Due to the emerging challenges with future 6G networks such as high data rates and the
need for remarkably low latency, future wireless communication systems must be planned …

As the demand for high-speed and reliable wireless communication continues to grow, 5G
technology has emerged as a promising solution to meet these requirements. However …

Channel estimation belongs to one of the potential applications, that can exploit Artificial
Intelligence (AI) and Machine Learning (ML) to enhance Physical Layer (PHY) performance …