Short packet communications (SPC) will play an important role in future Internet-of-Things
networks. Conventional pilot-assisted transmission (PAT) needs significant overhead to …

Inspired by the phenomenon that the received signals naturally form clusters, we propose a
novel machine learning framework to design multi-input multi-output (MIMO) communication …

We propose and practically demonstrate a joint detection and decoding scheme for short-
packet wireless communications in scenarios that require to first detect the presence of a …

Recently, machine learning based blind detection of modulation and coding scheme (MCS)
has been proven highly effective in achieving dynamic wireless communications in …

Automatic modulation recognition (AMR) has been considered as an efficient technique for
non-cooperative communication and intelligent communication. In this work, we propose a …

Deep learning-based recognition of radio signal modulation has emerged as a current
research hotspot with significant practical potential. However, in practical applications, radio …

Recent years have witnessed a surge of developments in deep learning (DL) motivated by a
variety of contemporary applications. The conventional DL-based automatic modulation …

In this letter, we investigate the use of machine learning (ML) to reduce the detection
complexity of faster-than-Nyquist (FTN) signaling. In particular, we view the FTN signaling …

High-speed information transmission system demands more powerful communication
receivers. In this paper, we integrate deep learning algorithms into constructing waveform …

Bursty data links can benefit directly from the removal of pilot symbol transmission for
channel estimation by improving the spectral efficiency. For such networking scenarios …