@inproceedings{8d369f3fadf64dd0be2216567f9b9730,
title = "Network Slicing for Mitigating Interference in Dense Deployments",
abstract = "In this paper, we have explored network slicing techniques to mitigate interference among the users in dense deployments of future generation communication networks. For this purpose, a novel algorithm that leverages federated generative adversarial networks is proposed. The simulation results demonstrate that the proposed approach significantly differs from existing techniques and has significant contribution in terms of offering a new approach to interference management that differs from existing literature.",
keywords = "Generalized Adversarial Networks, Interference. Federated Learning, Network Slicing",
author = "Daniel, {Lucky O.} and Daniel Mashao and Peter Olukanmi and Ghanshyam Singh",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 3rd IEEE Wireless Africa Conference, WAC 2025 ; Conference date: 24-02-2025 Through 25-02-2025",
year = "2025",
doi = "10.1109/WAC63911.2025.10992603",
language = "English",
series = "2025 IEEE 3rd Wireless Africa Conference, WAC 2025 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 IEEE 3rd Wireless Africa Conference, WAC 2025 - Proceedings",
address = "United States",
}