This paper investigates the optimal signal detection problem with a particular interest in
large-scale multiple-input multiple-output (MIMO) systems. The problem is NP-hard and can …

This article examines a multiuser intelligent reflecting surface (RIS) aided mobile edge
computing (MEC) system, where multiple edge nodes (ENs) with powerful calculating …

Deep learning is a new direction of research for specific emitter identification (SEI). Radio
frequency (RF) fingerprints of the emitter signal are small and sensitive to noise. It is difficult …

The development of information technology has changed the mode of communication of
social information, and this change has put forward new requirements on the contents …

Currently, massive data communication and computing pose a severe challenge on existing
wireless network architecture, from various aspects such as data rate, latency, energy …

Aiming at the shortcomings of traditional recommendation algorithms in dealing with large‐
scale music data, such as low accuracy and poor real‐time performance, a personalized …

Satellite‐terrestrial integrated networks (STINs) are considered to be a new paradigm for the
next generation of global communication because of its distinctive merits, such as wide …

In recent years, the utilization and application of unmanned aerial vehicle (UAV) have
attracted much attention, both from academy and industry. UAVs have been widely used in …

In this paper, a 5G Downlink Cooperative amplify-and-forward (AF) NOMA communication
system with multi-antenna relay is investigated. By exploring the advantage of multiple …

Gesture recognition utilizes deep learning network model to automatically extract deep
features of data; however, traditional machine learning algorithms rely on manual feature …