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公开(公告)号:US20230397048A1
公开(公告)日:2023-12-07
申请号:US17832593
申请日:2022-06-04
申请人: EdgeQ, Inc.
发明人: Gururaj PADAKI , Sriram RAJAGOPAL , Haripriya SURAMPUDI , Hersh Vardhan SHUKLA , Venkatesh SUKUMARAN
CPC分类号: H04W28/0983 , H04W28/0268 , H04W84/12
摘要: Described in the present disclosure are system and method embodiments for 5G and WLAN private network convergence to improve Quality of service (QoS) and Quality of experience (QoE) by switching, steering or splitting the traffic using a cognitive layer. The Cognitive layer may sense signal conditions and learn user preferences for traffic allocation between available Wi-Fi and 5G networks. In embodiments, the cognitive layer may comprise an Artificial Intelligence (AI) or Machine Learning (ML) module, signal conditions sensor, and user QoS/QoE aware schedulers. A cloud-based service controller may be incorporated to make decisions on user QoS and QoE allocation based on the cognitive layer input. Implementation of the network convergence embodiments may improve QoS/QoE.