- 专利标题: DYNAMIC MACHINE LEARNING DECISION THRESHOLD FOR RESOURCE ALLOCATION
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申请号: US17802355申请日: 2020-03-12
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公开(公告)号: US20230088733A1公开(公告)日: 2023-03-23
- 发明人: Akram BIN SEDIQ , Peiliang CHANG , Mats ZACHRISON
- 申请人: Telefonaktiebolaget LM Ericsson (publ)
- 申请人地址: SE Stockholm
- 专利权人: Telefonaktiebolaget LM Ericsson (publ)
- 当前专利权人: Telefonaktiebolaget LM Ericsson (publ)
- 当前专利权人地址: SE Stockholm
- 国际申请: PCT/IB2020/052244 WO 20200312
- 主分类号: H04W72/04
- IPC分类号: H04W72/04 ; H04L5/00
摘要:
Methods and apparatuses are provided for dynamic machine learning decision threshold for resource allocation/de-allocation. In one embodiment, a network node includes processing circuitry configured to cause the network node to dynamically adjust an allocation decision threshold; and determine whether to allocate at least one radio resource based at least in part on the allocation decision threshold. In one embodiment, a network node includes processing circuitry configured to cause the network node to dynamically adjust a de-allocation decision threshold; and determine whether to de-allocate at least one radio resource based at least in part on the de-allocation decision threshold.
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