Biography
Ljubinko Stojanović holds a Bachelor's degree in Computer Science and Informatics and a Master's degree in Modern Information Technologies from the Faculty of Computer Science and Informatics at Sinergija University. His master's thesis focused on Li-Fi (Light Fidelity) technology and its applications in next-generation wireless communication networks. His research interests include Li-Fi and visible light communication (VLC), artificial intelligence, machine learning, wireless communication networks, information systems, and digital transformation. He is particularly interested in the application of intelligent methods to optimize communication systems, resource allocation, and interference management in next-generation networks. He has authored and co-authored several scientific papers presented at the Sinergija International Scientific Conference organized by Sinergija University, the Sinteza International Scientific Conference organized by Singidunum University, and other international scientific journals and conferences. His publications primarily focus on Li-Fi technologies and related communication network challenges, contributing to research on efficient and intelligent wireless communication systems. He is dedicated to continuous professional development and actively follows advances in artificial intelligence, communication technologies, and smart networking solutions.
Conference contributions 2
ERROR CONTROL CODING TECHNIQUES FOR LI-FI SYSTEMS
This paper examines the application of error control coding techniques in Li-Fi systems with the aim of improving the reliability and efficiency of optical wireless communications. Starting from the specifics of the optical channel with intensity modulation and direct detection (IM/DD), the main sources of signal degradation are analyzed, including ambient noise, thermal noise, photodetector noise, and limitations of optical transmission in indoor environments. The focus is placed on the application and comparative analysis of different coding techniques, including block codes, Reed–Solomon codes, BCH codes, convolutional codes, and LDPC codes, in terms of their ability to reduce the probability of errors in data transmission. The paper considers the impact of these techniques on key performance metrics such as bit error rate (BER), coding gain, latency, decoding complexity, and system energy efficiency. It also analyzes the compatibility of the selected coding techniques with Li-Fi system requirements, especially in scenarios with high data rates, limited hardware resources, and increased sensitivity to noise and interference.
ADAPTIVE CELL FORMATION AND INTERFERENCE-AWARE DESIGN IN LI-FI ATTOCELL NETWORKS
This paper considers the problem of inter-cell interference in dense Li-Fi attocell networks and proposes an approach based on adaptive cell formation and an interference-aware design. Starting from the specifics of the optical channel with intensity modulation and direct detection (IM/DD), different cell structures are analyzed, including regular, frequency-separated, merged multi-access-point cells, virtual transmission, and user-oriented cells. Special focus is placed on modeling line-of-sight (LOS) interference, overlap of attocell zones, and the impact of LED deployment density on communication quality. The paper introduces an adaptive framework that enables dynamic adjustment of cell boundaries and resource allocation depending on user position and interference levels. The performance of the proposed approach is evaluated through metrics such as signal-to-interference-plus-noise ratio (SINR), throughput, and spectral efficiency. Adaptive cell formation can significantly reduce interference at cell edges and improve overall system performance compared to static approaches.