5 papers
AI-Driven Multi-Modal Adaptive Handover Control Optimization for O-RAN
Abdul Wadud, Fatemeh Golpayegani, Nima Afraz
Handover optimization in O-RAN faces growing challenges due to heterogeneous user mobility patterns and rapidly varying radio conditions. Existing ML-based handover schemes typical…
AI-Powered Conflict Management in Open RAN: Detection, Classification, and Mitigation
Abdul Wadud, Nima Afraz, Fatemeh Golpayegani
Open Radio Access Network (RAN) was designed with native Artificial Intelligence (AI) as a core pillar, enabling AI- driven xApps and rApps to dynamically optimize network performa…
RU Energy Modeling for O-RAN in ns3-oran
Abdul Wadud, Nima Afraz
This paper presents a detailed and flexible power consumption model for Radio Units (RUs) in O-RAN using the ns3-oran simulator. This is the first ns3-oran model supporting xApp co…
xApp-Level Conflict Mitigation in O-RAN, a Mobility Driven Energy Saving Case
Abdul Wadud, Fatemeh Golpayegani, Nima Afraz
This paper investigates the emerging challenges of conflict detection and mitigation in Open Radio Access Network (O-RAN). Conflicts between xApps can arise that affect network per…
QACM: QoS-Aware xApp Conflict Mitigation in Open RAN
Abdul Wadud, Fatemeh Golpayegani, Nima Afraz
The advent of Open Radio Access Network (RAN) has revolutionized the field of RAN by introducing elements of native support of intelligence and openness into the next generation of…