AI-enabled framework for mobile network experimentation leveraging ChatGPT: Case study of channel capacity calculation for η-µ fading and co-channel interference

D Krstic, N Petrovic, S Suljovic, I Al-Azzoni - Electronics, 2023 - mdpi.com
Artificial intelligence has been identified as one of the main driving forces of innovation in
state-of-the-art mobile and wireless networks. It has enabled many novel usage scenarios …

Using level crossing rate of selection combining receiver damaged by Beaulieu-**e fading and Rician co-channel interference with a purpose of machine learning …

S Suljovic, DS Krstic, G Nestorovic… - Elektronika ir …, 2023 - eejournal.ktu.lt
In this paper, a wireless system is considered impacted by Beaulieu-**e (BX) fading and
Rician co-channel interference (CCI). A selection diversity combining technique is used to …

Approach to QoS Prediction Leveraging Impact of Beaulieu-**e Fading and κ-µ Co-Channel Interference on SC Diversity Receiver Outage Probability

D Krstic, S Suljovic, D Milic… - 2023 17th International …, 2023 - ieeexplore.ieee.org
In this paper, we analyze the outage probability (P_out) at the output of a multi-branch
diversity receiver using selection combining (SC) in a wireless environment disturbed by …

Base station anomaly prediction leveraging model-driven framework for classification in Neo4j

N Petrovic, I Al-Azzoni, D Krstic… - … for Next Generation …, 2022 - ieeexplore.ieee.org
Machine learning is one of key-enablers in case of novel usage scenarios and adaptive
behavior within next generation mobile networks. In this paper, it is examined how model …

MDE and LLM Synergy for Network Experimentation: Case Analysis of Wireless System Performance in Beaulieu-**e Fading and κ-µ Co-Channel Interference …

D Krstic, S Suljovic, G Djordjevic, N Petrovic, D Milic - Sensors, 2024 - mdpi.com
Channel modeling is a first step towards the successful projecting of any wireless
communication system. Hence, in this paper, we analyze the performance at the output of a …

Leveraging outage probability in systems limited by BX fading and Nakagami-m co-channel interference for classification-based QoS estimation

S Suljović, R Stefanović, S Vasić… - 2023 22nd …, 2023 - ieeexplore.ieee.org
In this paper we have conducted analysis of the outage probability (Pout) at the output of the
receiver with selection combining (SC) in the channel affected by the presence of Beaulieu …

Application of neural networks in estimating second-order characteristics of shadowed fading channels

S Panic, M Dejanovic, V Milenkovic, D Djosic… - Telecommunication …, 2025 - Springer
This study introduces a neural network-based approach to estimate the level crossing rate
(LCR) and average fade duration (AFD) for wireless fading channels characterized by …

Determining the ABEP under the Influence of K-µ Fading and CCI with SC combining at L-branch Receiver Using Moment Generating Function

D Krstic, S Suljovic, N Petrovic, S Minic… - 2022 International …, 2022 - ieeexplore.ieee.org
In this work, the useful signal suffering disappearance of small scale fading described by k-µ
distribution, as well as k-µ co-channel disturbance, will be observed. The moment …

Utilizing LCR of Wireless System with SC Receiver Weakened by Beaulieu-**e Fading and κ-¼ Interference for Machine Learning-Based QoS Prediction

D Krstic, S Suljovic, N Petrovic, S Minic… - 2023 IEEE 21st …, 2023 - ieeexplore.ieee.org
For applications in wireless systems, accurate channel modeling is necessary. Since there
were no precise distributions for modeling channels consisting of more line-of-sight (LOS) …

LLM-Enabled Network Experimentation Workflow: Channel Capacity of SC Diversity Receiver with Branches in Fading and Weibul Co-Channel Interference …

D Milic, N Petrovic, S Suljovic, J Vujic… - 2024 11th …, 2024 - ieeexplore.ieee.org
In this paper, a model of a wireless SC receiver with L input branches is considered, which is
used to reduce the effects of short fading and co-channel interference (CCI) on system …