The master's thesis of the student Iman Khaled Ibrahim, specialized in Computer Engineering, was discussed on Thursday 13/10/2022 at Hall No.9 in the Department of Control and Systems Engineering. Her research was entitled: Implementation of Indoor Wireless Systems Based on User Communications The Discussion Committee consisted of:

1. Dr. Azad Rahim Karim / Chairman.

2. Dr. Mahmoud Zaki Abdullah / Member.

3. Dr. Ali Majeed Mahmoud / Member.

4. Dr. Ikhlas Kazem Hamza / Member and supervisor.

The growing number of mobile devices challenges existing radio-frequency networks. Therefore, the LiFi/RF hybrid network (HLRN) was proposed to mitigate the increased load of the radio-frequency data rate, providing greater system throughput than that of independent LiFi or RF networks. In hybrid networks, the main problem lies in load balancing which reduces network performance. Therefore, MT studied load balancing techniques in the hybrid network, focusing on the part of assigning the access point to users. In it, user allocation of the domain is a challenge since it is limited to the productivity expected by each user. Five techniques were used divided into three phases, namely: received signal strength (RSS), particle swarm optimization (PSO) and deep learning methods (FFNN, CNN and CBPNN). An event such as the availability of high noise for power or the effect of basic user volatility (mobility) on productivity was studied, which was carried out in three stages. The results showed that the highest productivity and load balance was obtained using the technique of improving the swarm of particles while the satisfaction of the user was obtained the highest percentage using deep learning methods (CNN). The discussion was attended by the assistant head of the department for scientific affairs and graduate studies (Prof. Dr. Mohammed Yousef Hassan). On this occasion, we congratulate the student Iman Khaled Ibrahim and wish her continued success.