## 4 Conclusions and Future Work  
In this paper, an analysis of the multi-branch SC receiver under the influence of \(\eta\)-\(\mu\) multipath fading and CCI with \(\eta\)-\(\mu\) distribution is presented. Calculations with precision up to fifth significant digit were achieved. Based on the derived expression for channel capacity, some graphs are plotted with the signal-to-co-channel interference ratio. This provides better insight into the impact of the environmental parameters.  
In the second part of the paper, we utilized the derived expression of the channel capacity for the QoS determination based on a classification model built within the Neo4j graph database ecosystem. The proposed model achieved high accuracy, reaching up to 98%.  
Moreover, we integrated the QoS estimation within our simulation workflow for network planning, where ChatGPT was used to automatize the steps related to Neo4j query construction. Thereafter, thanks to prompt construction using a model-driven approach, a significant increase in the speed (more than 4 times) of the simulation workflow was achieved compared to the manual setup. The main advantage of ChatGPT is in its flexibility and dynamic customization, leveraging prompt engineering methods, rather than re-training a model with additional data.  
In future work, we plan to further investigate the potential of ChatGPT for fading-type classification, taking into account real values measured in simulation conditions. Furthermore, considering the novel approaches to the performance of wireless networks, it can be found that non-Markovianity shows great potential in communication security enhancement according to the recent literature [35; 36]. Additionally, the phase modulation of coherent states plays an important role in quantum communication channels [37], while the use of probabilistic noiseless linear amplifiers both at the encoding and decoding stages in cases where the information is coded on phase shifts represents a promising direction [38]. Therefore, possible future research directions might consider focusing on security aspects and the adoption of quantum communication channels, together with the corresponding AI techniques that would make such solutions more efficient.  
Conceptualization, N.P. and D.K.; methodology, S.S. and N.P.; software, N.P. and I.A.-A.; validation, D.K. and I.A.-A.; formal analysis, D.K.; investigation, S.S. and N.P.; resources, N.P. and S.S.; data curation, N.P.; writing--original draft preparation, D.K.; writing--review and editing, D.K.; visualization, D.K. and S.S.; supervision, D.K.; project administration, D.K.; funding acquisition, D.K. and N.P. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
* Publicly available datasets were analyzed in this study. This data, together with auxiliary scripts can be found here: [[https://github.com/penenadpi/neo4j_chatgpt_ecore_qos_predict](https://github.com/penenadpi/neo4j_chatgpt_ecore_qos_predict)]([https://github.com/penenadpi/neo4j_chatgpt_ecore_qos_predict](https://github.com/penenadpi/neo4j_chatgpt_ecore_qos_predict)), accessed on 4 August 2023.  
This paper was written partially under the Serbian Ministry of Science, Technological Development and Innovation.  
* The authors declare no conflict of interest.