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Federated Machine Reasoning for Resource Provisioning in 6G O-RAN
Swastika Roy, Hatim Chergui, Adlen Ksentini, Christos Verikoukis
https://arxiv.org/abs/2406.06128

Federated Machine Reasoning for Resource Provisioning in 6G O-RAN
O-RAN specifications reshape RANs with function disaggregation and open interfaces, driven by RAN Intelligent Controllers. This enables data-driven management through AI/ML but poses trust challenges due to human operators' limited understanding of AI/ML decision-making. Balancing resource provisioning and avoiding overprovisioning and underprovisioning is critical, especially among the multiple virtualized base station(vBS) instances. Thus, we propose a novel Federated Machine Reasoning (FLMR)…

Federated Machine Reasoning for Resource Provisioning in 6G O-RAN
Swastika Roy, Hatim Chergui, Adlen Ksentini, Christos Verikoukis
https://arxiv.org/abs/2406.06128

Federated Machine Reasoning for Resource Provisioning in 6G O-RAN
O-RAN specifications reshape RANs with function disaggregation and open interfaces, driven by RAN Intelligent Controllers. This enables data-driven management through AI/ML but poses trust challenges due to human operators' limited understanding of AI/ML decision-making. Balancing resource provisioning and avoiding overprovisioning and underprovisioning is critical, especially among the multiple virtualized base station(vBS) instances. Thus, we propose a novel Federated Machine Reasoning (FLMR)…