发明名称 System and method for a location prediction-based network scheduler
摘要 Embodiments are provided for traffic scheduling based on user equipment (UE) in wireless networks. A location prediction-based network scheduler (NS) interfaces with a traffic engineering (TE) function to enable location-prediction-based routing for UE traffic. The NS obtains location prediction information for a UE for a next time window comprising a plurality of next time slots, and obtains available network resource prediction for the next time slots. The NS then determines, for each of the next time slots, a weight value as a priority parameter for forwarding data to the UE, in accordance with the location prediction information and the available network resource prediction. The result for the first time slot is then forwarded from the NS to the TE function, which optimizes, for the first time slot, the weight value with a route and data for forwarding the data to the UE.
申请公布号 US9380487(B2) 申请公布日期 2016.06.28
申请号 US201414445889 申请日期 2014.07.29
申请人 Huawei Technologies Co., Ltd. 发明人 Shafiee Kaveh;Zhang Hang;Callard Aaron James;Stephenne Alex;Farmanbar Hamidreza
分类号 H04L12/28;H04J3/00;H04B7/212;H04W24/00;G06F15/173;H04W28/02 主分类号 H04L12/28
代理机构 Slater Matsil, LLP 代理人 Slater Matsil, LLP
主权项 1. A method by a location prediction-based network scheduler, the method comprising: obtaining location prediction information for a user equipment (UE) for a next time window comprising a plurality of next time slots, wherein a quantity of next time slots in the next time window is predefined; obtaining available network resource prediction for the next time slots; determining, for each of the next time slots, a weight value as a priority parameter for forwarding data to the UE in accordance with the location prediction information and the available network resource prediction for the next time slots; and providing a traffic engineering (TE) function in a network with the determined weight value for a first time slot in the next time slots.
地址 Shenzhen CN