Practical 5G channel and system modeling techniques

The IEEE Montreal Section and Concordia University are inviting all interested IEEE Montreal members and other engineers and students to a technical seminar given by: Prof. Kafi Hassan. Register to reserve your seat. Refreshment will be served. Abstract: Channel link‐level and system level modeling played a critical role in proper design and deployment of all generations of wireless network systems. Particularly, system level modeling has become an important task for network planning, network design, and network optimization of wireless cellular systems. System level simulations allow to evaluate the performance of an entire network containing many Evolved Node B (eNodeB) sectors serving a lot of user equipment (UEs) in urban, suburban, and rural environments. Design and performance of new technology features require to be accurately verified and improved before deployment into commercial systems. Therefore, real‐world system performance modeling and predictions should be very reliable and should be based on repeatable measurements of how the model behaves in the actual environment. Both the wireless industry and academia have made a significant effort developing and defining new and updated channel models such as the 3GPP 3D channel model and the extended 3GPP extended channel model for milli‐meter wave. New 3D geodata models with high‐resolution and artificial intelligent (AI) algorithms are greatly enhancing the RF propagation modeling in line of sight (LOS) and non‐line of sight (NLOS) beamformed signals and FD‐MIMO antenna applications of 5G wireless network systems. In this talk, we will review some of the key 5G wideband wireless channel modeling including the 3rd Generation Partnership Project (3GPP), NYU SIM, and others. We will discuss some of the general practical use cases of 5G network system modeling scenarios. Additionally, we will describe some of the practical challenges of channel and system modeling in 5G wireless systems. Speaker(s): Prof. Kafi Hassan, Room: 1.162, Bldg: EV-Building, 1515 Ste. Catherine West (corner with Guy St.), Concordia University, Electrical & Computer Engineering Department, Montreal, Quebec, Canada