发明申请
- 专利标题: MODEL-ASSISTED DEEP REINFORCEMENT LEARNING BASED SCHEDULING IN WIRELESS NETWORKS
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申请号: US17479991申请日: 2021-09-20
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公开(公告)号: US20220007382A1公开(公告)日: 2022-01-06
- 发明人: Arjun Anand , Ravikumar Balakrishnan , Vallabhajosyula S. Somayazulu , Rath Vannithamby
- 申请人: Intel Corporation
- 申请人地址: US CA Santa Clara
- 专利权人: Intel Corporation
- 当前专利权人: Intel Corporation
- 当前专利权人地址: US CA Santa Clara
- 主分类号: H04W72/12
- IPC分类号: H04W72/12 ; G06N3/08 ; G06N3/04
摘要:
In one embodiment, an apparatus of an access point (AP) node of a network includes an interconnect interface to connect the apparatus to one or more components of the AP node and a processor to: access scheduling requests from a plurality of devices, select a subset of the devices for scheduling of resource blocks in a time slot, and schedule wireless resource blocks in the time slot for the subset of devices using a neural network (NN) trained via deep reinforcement learning (DRL).
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