Many communication tasks have been formulated as optimization problems that can be
solved by iterative algorithms. However, these algorithms are usually computationally …

Numerical optimization has played a central role in addressing key signal processing (SP)
problems. Highly effective methods have been developed for a large variety of SP …

Wireless interference identification (WII) is one of the most promising technologies in anti-
interference communication systems and non-cooperative communication systems …

In recent years, there has been a surge in applying deep learning to various challenging
design problems in communication networks. The early attempts adopt neural architectures …

Deep neural networks (DNNs) have achieved significant success in a variety of real world
applications. However, tons of parameters in the networks restrict the efficiency of neural …

There has been growing interest in the deployment of deep learning systems onto resource-
constrained platforms for fast and efficient inference. However, typical models are …

Wireless interference identification (WII) is a promising technology for non-cooperative
communication systems in both civilian and military scenarios. With the rapid development …

Wireless interference identification (WII) is critical for non-cooperative communication
systems in both civilian and military scenarios. Recently, deep learning (DL) based WII …

Wireless interference identification (WII) is a critical technology for the non-cooperative
communication systems, and it is widely applied into military and civilian scenarios. With …

The year 2019 witnessed the rollout of the 5G standard, which promises to offer significant
data rate improvement over 4G. While 5G is still in its infancy, there has been an increased …