With the increasing demand for intelligent services, the sixth-generation (6G) wireless
networks will shift from a traditional architecture that focuses solely on a high transmission …

Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

Recently, semantic communication has been brought to the forefront because deep learning
(DL)-based methods, such as Transformer, have achieved great success in semantic …

The benefits of end-to-end learning has been demonstrated over AWGN channels but has
not yet been quantified over realistic wireless channel models. This work aims to fill this gap …

Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …

Recent years have witnessed growing interest in the application of deep neural networks
(DNNs) for receiver design, which can potentially be applied in complex environments …

The cloud-based solutions are becoming inefficient due to considerably large time delays,
high power consumption, and security and privacy concerns caused by billions of connected …

In recent years, deep learning has been widely applied in communications and achieved
remarkable performance improvement. Most of the existing works are based on data-driven …

In a non-orthogonal multiple access (NOMA) system, the successive interference
cancellation (SIC) procedure is typically employed at the receiver side, where several user's …

As current 5G communication systems cannot fulfill the stringent requirements brought by
emerging applications, 6G will innovatively employ deep learning (DL) techniques to …