Massive MIMO, full-dimension (FD) MIMO, millimeter-wave and small cells are some popular candidates for the 5th generation (5G) wireless communication systems. However, as much as these technologies present exciting new challenges for antenna design, the conventional design framework is expected to remain, partly due to the current emphasis on non-antenna issues. Conventionally, terminal antennas are designed based on simple, and often unrealistic criteria, including an emphasis on antenna performance in free space. Moreover, the need for compact multi-antenna implementation makes it even more challenging to deliver efficient antenna designs. Though poor antenna performance in reality is largely overlooked for different reasons, future wireless systems with high performance requirements will greatly benefit from a more comprehensive antenna design paradigm. In this lecture, I will start by giving an overview of conventional terminal antenna design and comment on its limitations. Then, I will outline current trends in terminal antenna design for 4G systems. I will then introduce a new antenna design paradigm that has the potential to dramatically improve 5G performance. In particular, the paradigm takes into account the interactions of the antenna system with its nearfield and farfield surroundings and provides a powerful framework to optimize these interactions. Finally, I will provide some practical techniques to take advantage of this design paradigm, where each technique offers promising performance gains over the state-of-the-art.

Wireless RF communication systems in the past evolved from simple mechanisms and hardware with low frequency resulting in low data rate to advanced technologies. The modern technologies adopt to the dynamics and additional challenges of the wireless channel, operate at higher frequencies and achieve higher data rates. One of the main challenges in the past and present is multipath propagation that results in interference of signal components at the receiver. Multipath depends on the characteristics of the environment and the effect increases with increasing symbol frequency, radio frequency and distance. However, in the past, systems evolve that benefit from multipath characteristics of the wireless channel. In this talk we will evaluate the positive and or negative effects of multicast in different applications.

Analytical, numerical and other different methods are used in the modeling procedure of the microwave devices like meander structures and waveguides. Some of these methods are more universal. Others methods are more suitable for the specific tasks. For example meander structures are very relevant in the IoT communication systems, where miniaturization is one of the key issues. Meander structures allow to decrease the size of the IoT device while maintaining the same operating parameters of the IoT device. Meander structures can also work as the meander delay systems, which can be used for the delay and synchronization of signals in IoT devices. The design procedure of the meander structures is difficult and time-consuming because the analytical and numerical methods, which are used in the design process are complex. New methods, which will accelerate the synthesis procedure of the meander structures, should be investigated. The same situation is with waveguides devices. This is especially relevant when the procedure of synthesis must be repeated many times, until the appropriate configuration of the IoT device is found. We present the procedure of synthesis of the microwave devices using the different configuration of artificial neural networks.

An introduction is given to mathematical methods for inverse waveguide problems. Applications are considered to the solution of the inverse waveguide problems of reconstructing permittivity of layered dielectric inclusions. It is shown that the existence and uniqueness can be justified by establishing one-to-one correspondence between the sought quantities and the measured noisy data.