Sabr, Ohood, Kaddoum, Georges et Kaur, Kuljeet.
2025.
« HiSO-CoMA: Hierarchical self-optimizing framework for O-RAN slicing using cooperative multiple agent deep reinforcement learning ».
IEEE Open Journal of the Communications Society, vol. 6.
pp. 9632-9653.
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Résumé
Network slicing (NS) is a cornerstone technology for sixth-generation (6G) networks, enabling the support of heterogeneous services with diverse quality-of-service (QoS) requirements. However, existing radio access network (RAN) slicing schemes often rely on single-level resource allocation, limiting their adaptability to the dynamic nature of RAN and the efficient use of limited radio resources. This leads to challenges in satisfying service-level agreements (SLAs). Moreover, effective hierarchical slicing that operates under fluctuating traffic loads, and hardware impairments for multiple antenna systems remains a challenge. To address these issues, we propose a hierarchical self-optimization framework aimed at maximizing both the long-term QoS and the spectral efficiency. Specifically, the proposed framework consists of two slicing management schemes: a cooperative multiple actor-critic (CoMA2C) scheme to manage the power and bandwidth among heterogeneous slices on a large scale. Concurrently, a multi-agent deep Q-network (MADQN) scheme manages the power and beamforming for active users within each slice on a small time scale, accounting for hardware impairments, user mobility, traffic fluctuations, and channel variations. The DQN and A2C algorithms are employed in the design of the proposed schemes owing to their proven effectiveness in real-time decision-making in dynamic environments. Furthermore, a promising scheme based on rate-splitting multiple access (RSMA) is investigated for heterogeneous services. Simulation results showcase the effectiveness of our proposed framework, demonstrating its ability to satisfy SLAs for heterogeneous services while reducing network overhead and outperforming existing state-of-the-art approaches.
| Type de document: | Article publié dans une revue, révisé par les pairs |
|---|---|
| Professeur: | Professeur Kaddoum, Georges Kaur, Kuljeet |
| Affiliation: | Génie électrique, Génie électrique |
| Date de dépôt: | 03 déc. 2025 18:59 |
| Dernière modification: | 10 janv. 2026 16:10 |
| URI: | https://espace2.etsmtl.ca/id/eprint/33101 |
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