Special Issue Information
Internet of Things (IoT) and fifth-generation mobile communication (5G) are the key technologies behind the development of sensor networks and connected devices. Seamless processing of diverse information—as the core concept of IoT—will eventually revolutionize nearly all aspects of our lives, including healthcare, logistics, navigation, and transport. On the other hand, 5G is perceived as a wireless backbone ensuring the high quality-of-service and reliability required to unleash the full potential of IoT-driven services. The development of IoT and 5G would not be possible without intricate wireless components. Connectivity solutions for IoT and 5G applications heavily rely on multiple-input multiple-output (MIMO) antennas, reconfigurable radiators, or advanced beamforming networks—all of which reach far beyond what is achievable by conventional antennas. However, industry-standard approaches are inefficient and prohibitively expensive when applied to their design. From this perspective, development of reliable and affordable antenna techniques for IoT and 5G applications is an important problem that remains unsolved.
Advanced antenna techniques for IoT and 5G applications encompass dedicated modeling methods, specialized design frameworks, approaches to automated integration of components, or performance validation algorithms. Furthermore, availability of suitable surrogate-assisted techniques is considered indispensable for reducing development cost of radiators, which is particularly important for applications that involve analysis of multi-physics phenomena or complex environments and their effects on system behavior.
The objective of this Special Issue is to report techniques for IoT and 5G antennas that reach beyond the frontiers of the current state of the art. The topics of interest cover design and modeling methods, beam control techniques, and optimization algorithms, including but not limited to:
Analysis of shadowing effects;
Algorithmic selection and generation of topologies;
Design and validation of beamforming networks;
Failure identification techniques;
Forward and inverse modeling techniques for 5G/IoT antennas and arrays;
MIMO structures and massive MIMO systems;
Multi-physics modeling and optimization;
Radiation effects on living tissues;
Specialized optimization algorithms;
Structures and algorithms for automobile communication;
Telemedicine and biomedical applications;
Yield estimation and maximization techniques.
automated antenna design
Dr. Adrian Bekasiewicz