@inproceedings{28bd59ee199047068e2c114039e8706c,
title = "Optimized Coordinated Resource Allocation and Power Control for Wireless Communication Networks",
abstract = "This paper investigates an optimized approach to coordinated resource allocation and power control for wireless communication networks. To address limitations in existing methods, such as scalability and fairness, a novel algorithm is implemented that leverages federated learning regression-based decision trees to achieve efficient resource allocation and improved network performance. The system model considers a dense communication network with different user equipment types and incorporates constraints like power limitations and quality of service requirements. Simulation results demonstrate that the implemented approach significantly outperforms existing techniques in terms of throughput, energy efficiency, and latency.",
keywords = "Decision Trees, Federated Learning, Power Control, Resource Allocation",
author = "Daniel, {Lucky Oghenechodja} and Ghanshyam Singh and Daniel Mashao and Peter Olukanmi",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2024 ; Conference date: 01-08-2024 Through 02-08-2024",
year = "2024",
doi = "10.1109/icABCD62167.2024.10645229",
language = "English",
series = "7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Sameerchand Pudaruth and Upasana Singh",
booktitle = "7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2024 - Proceedings",
address = "United States",
}