With the development of communication and networking technologies, the Internet of
Vehicles (IoV) has become the foundation of smart transportation. The development of …

Sparse modeling for signal processing and machine learning, in general, has been at the
focus of scientific research for over two decades. Among others, supervised sparsity-aware …

Data-driven paradigms are well-known and salient demands of future wireless
communication. Empowered by big data and machine learning techniques, next-generation …

In this overview paper, data-driven learning model-based cooperative localization and
location data processing are considered, in line with the emerging machine learning and big …

This paper aims to devise a generalized maximum likelihood (ML) estimator to robustly
detect signals with unknown noise statistics in multiple-input multiple-output (MIMO) …

In this paper, we investigate a backhaul framework jointly considering topology construction
and power adjustment for self-organizing UAV networks. To enhance the backhaul rate with …

5G mobile edge computing (MEC) can be used in intelligent manufacturing. In complex
industrial application scenarios, this paper tries to address the problem of energy …

The degree of insulation aging of power cables is closely related to their partial discharge
(PD) level, so the analysis of PD signals can be used to realize the cable condition …

In the fifth generation new radio (5G NR) frequency division duplex (FDD) massive multiple-
input and multiple-output (MIMO) systems, downlink beamforming relies on the codebook …

Occlusion area detection is a crucial step affecting the performance of the binocular stereo
matching algorithm, but the traditional method of occlusion area detection has two major …