Computational Intelligence (CI) is arguably one of the most powerful approaches for the optimization and design of complex wireless systems and networks in order to meet the ever more challenging requirements and needs of applications today. In this framework, a wide number of CI methodologies and algorithms based on Fuzzy Logic Systems, Learning-by-Examples Techniques, and Nature Inspired Optimization have been developed and effectively applied to real problems as demonstrated by the many research publications as well as the number of meetings and symposia organized worldwide. The introduction of innovative designs and advanced optimization methodologies is fundamental to offer new capabilities to the next-generation wireless services and applications.
The manuscripts should be submitted in PDF format. Click Here to know further guidelines for submission.
Although the research on CI applications has reached an impressive state, there are still many new research topics for the applications of CI that are continually emerging, especially in the framework of wireless systems such as communications and radar systems, antennas, electromagnetic diagnostics, remote sensing, wireless networking, wireless power transmission. This symposium aims at bringing researchers and engineers from academia and industry together to report, interact and review the latest progress of CI applications in the field of wireless systems and networks, to explore future directions of research, and to publicize CI applications to a wider audience from diverse fields.
Authors are invited to submit their original and unpublished work in the areas including but not limited to Computational Intelligence for/in:
- Radar architectures and systems;
- Advanced and 5G communications systems and networks
- Automotive wireless systems and devices
- Electromagnetic imaging and diagnostics
- Remote sensing
- Radio-frequency identification
- Wireless power transmission
- Wireless sensor networks
- Wireless green networks
- Software defined radio
- Smart antennas
- Direction finding.
University of Trento, Italy
Randy L. Haupt
Colorado School of Mines, USA