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Modern broadband hybrid optical‐wireless access networks have gained the attention of academia and industry due to their strategic advantages (cost‐efficiency, huge bandwidth, flexibility, and mobility). At the same time, the proliferation of Software Defined Networking (SDN) enables the efficient reconfiguration of the underlying network components dynamically using SDN controllers. Hence, effective traffic‐aware schemes are feasible in dynamically determining suitable configuration parameters for advancing the network performance. To this end, a novel machine learning mechanism is proposed for an SDN‐enabled hybrid optical‐wireless network. The proposed architecture consists of a 10‐gigabit‐capable passive optical network (XG‐PON) in the network backhaul and multiple Long Term Evolution (LTE) radio access networks in the fronthaul. The proposed mechanism receives traffic‐aware knowledge …