Year: 2025
Type: conference-paper
Abstract: This paper presents a novel approach to the resource allocation problem in Open Radio Access Networks (Open RAN), focusing on the coordination of independent xApps for efficient network slicing and physical resource block (PRB) allocation. The proposed framework targets enhanced mobile broadband (eMBB) services and aims to maximize the weighted throughput across user equipments (UEs) while ensuring resource constraints are met. Q-learning is employed as the decision-making mechanism for PRB assignment. Performance is evaluated through comparative analysis against an exact optimization method and a baseline greedy algorithm. Results show that the proposed approach achieves superior efficiency across varying scenarios, highlighting its effectiveness and potential for practical deployment in Open RAN environments.
Authors: Duc-Tien Nguyen, Trong-Tin Nguyen, Tai Hung Nguyen, Nguyen Huu Thanh, Quang-Trung Luu
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4417052606