Symmetric/Asymmetric Design in Microwave Communication Systems & Embedded Systems for Emerging Wireless Technologies

Dear Colleagues,

Symmetric and asymmetric designs are fundamental concepts in microwave communication systems and embedded systems, especially when it comes to accommodating emerging wireless technologies like 5G, IoT (Internet of Things), 6G, and beyond. These concepts play a critical role in optimizing the performance, functionality, and efficiency of these systems. Symmetric design in microwave communication systems and embedded systems for emerging wireless technologies prioritizes balanced components and enhancing signal integrity.

In microwave communication systems, symmetric design typically refers to components or elements that exhibit balance and symmetry in their structure and operation. This balance often results in uniform signal propagation and coverage patterns. For example, a symmetric antenna design, like a dipole antenna, radiates electromagnetic energy uniformly in all directions, creating an omnidirectional coverage pattern. Asymmetric design, on the other hand, leans towards unbalanced components, making it adaptable for diverse devices and network topologies, such as IoT applications and cellular networks.

In embedded systems for emerging wireless technologies, the concepts of symmetric and asymmetric design determine how communication and processing are structured within the system. These design approaches are used to optimize various aspects of the system, such as power consumption, processing speed, and security.

Potential topics include, but are not limited to, the following:

• Passive components (filters, couplers, transitions, waveguides, etc.);
• Active components (amplifiers, mixers, oscillators, etc.);
• RF packaging and package modelling;
• RF MEMS and microsystems;
• Sensors and RFID;
• Embedded systems architecture;
• Embedded software and hardware;
• Application-specific processors/devices;
• Embedded cybersecurity and cryptography;
• Embedded machine learning, deep learning, and Artificial Intelligence.

Prof. Dr. Jamal Zbitou
Dr. Aziz Oukaira
Guest Editors

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• antennas
• passive and active devices
• embedded systems
• machine learning (ML)
• system-in-package (SIP)
• thermal management
• power management