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…
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…
On the Sum Secrecy Rate Maximisation for Wireless Vehicular Networks
Muhammad Farooq, Le-Nam Tran, Fatemeh Golpayegani +1
Wireless communications form the backbone of future vehicular networks, playing a critical role in applications ranging from traffic control to vehicular road safety. However, the…
subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment
Zeyneddin Oz, Ceylan Soygul Oz, Abdollah Malekjafarian +2
Federated Learning (FL) is commonly used in systems with distributed and heterogeneous devices with access to varying amounts of data and diverse computing and storage capacities.…