A master’s thesis was discussed in the Department of Control and Systems Engineering by the student (Zeena Mustafa Ali) majoring in (Computer Engineering ) on Thursday, 12, September 2024, at Hall No.9 in the Control and Systems Engineering Department. The research was entitled: "Performance Improvement of Baseband Wireless Communication" The discussion committee consisted of: 1- Asst. Prof. Dr. Fadel Saheb Hassan / Chairman 2- Asst. Prof. Dr. Ali Majeed Muhmood /Member 3- Asst. Prof. Dr. Ahmed Raouf Naser / Member 4- Asst. Prof. Dr. Ikhlas Kadhum Hamza / Member and Supervisor This thesis included the implementation of an internal positioning system for a hybrid network with a deep learning algorithm with higher accuracy, lower cost and faster time in order to reduce data fluctuations and provide higher productivity for the system than single VLC or RF networks. This was achieved by calculating the error location based on the triangulation equation and simulating data based on the received signal strength –triangulation and enhancing accuracy by implementing iterative, comprehensive and reinforcement learning methods. The network was localized in the internal environment by two stages. The first stage simulated the users location data using the triangulation method and entered the data into the deep learning algorithm. In the second stage, attention was paid to how to deal with noise, and the users location was accurately determined using RSS Triangulation. The thesis also focused on Load Balancing in order to ensure quality. According to the results, the system achieved a through put of up to 210 megabits per second SSS of 180 megabits per second . In addition, a user satisfactions rate of 100% was reported. Finally, on this occasion, we congratulate the student (Zeena Mustafa Ali) and wish her continued success.