Combining individual p-values to perform an overall test is often encountered in statistical applications. The Cauchy combination test (CCT) (Journal of the American Statistical Association, 2020, …
Chaos wavelength division multiplexing is a key technology to solve incompatibility between chaos secure communication and large capacity fiber data transmission. However, the existing integrated c…
Machine learning (ML) has been widely used for physical layer modeling in optical networks for its high accuracy and efficient calculation structure. However, traditional ML-based methods purely re…
We consider the convex-concave saddle point problem , where the decision variables and/or are subject to certain multi-block structure and affine coupling constraints, and possesses certain separa…
Distributed algorithms have been playing an increasingly important role in many applications such as machine learning, signal processing, and control. Significant research efforts have been devoted…
Orbital angular momentum (OAM) is a fundamental property of electromagnetic waves and is inherently carried by all frequencies of waves. In particular, OAM applications at radio frequencies (RFs) h…
The structured beams, which can manipulate arbitrary intensity and phase of electromagnetic rays, are significant in communication and sensing. The vortex electromagnetic wave carrying orbital angu…
The passive localization system (PLS) is fundamental to many wireless applications. The deployment of the monitoring stations plays a key role in the performance of the PLSes. However, the workflow…
Traditional industrial networks primarily focus on onsite device operation and worker safety. They do not engage in the ongoing digital transformation with remote control machinery and big data pro…
The ever-demanding requirement for higher data transmission rate has pushed the carrier frequency in wireless communications from centimeter to millimeter waves (MMW) or even terahertz band. Hybrid…