CN113615277A - 一种基于神经网络的功率分配方法及装置 - Google Patents

一种基于神经网络的功率分配方法及装置 Download PDF

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CN113615277A
CN113615277A CN201980094522.3A CN201980094522A CN113615277A CN 113615277 A CN113615277 A CN 113615277A CN 201980094522 A CN201980094522 A CN 201980094522A CN 113615277 A CN113615277 A CN 113615277A
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CN113615277B (zh
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黄鸿基
胡慧
刘劲楠
杨帆
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Huawei Technologies Co Ltd
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

一种基于神经网络的功率分配方法及装置。根据该方法，可通过神经网络模型基于MIMO通信系统的信道向量特征，提取通信系统的特征，进一步基于神经网络模型通过多次迭代对该特征进行拟合，根据拟合结果确定针对每个用户分配的发送功率，由于在功率分配中考虑了通信系统的特征，可以优化发送功率的分配结果。

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PCT国内申请，说明书已公开。

Claims (22)

  1. PCT国内申请，权利要求书已公开。
CN201980094522.3A 2019-03-27 2019-03-27 一种基于神经网络的功率分配方法及装置 Active CN113615277B (zh)

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CN113919253B (zh) * 2021-10-08 2023-08-11 西安电子科技大学 硅通孔阵列峰值温度和参数的优化方法及系统

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Publication number Priority date Publication date Assignee Title
US20130054500A1 (en) * 2011-08-22 2013-02-28 King Fahd University Of Petroleum And Minerals Robust controller for nonlinear mimo systems
CN108462517A (zh) * 2018-03-06 2018-08-28 东南大学 一种基于机器学习的mimo链路自适应传输方法
CN109474980A (zh) * 2018-12-14 2019-03-15 北京科技大学 一种基于深度增强学习的无线网络资源分配方法

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JP6854473B2 (ja) * 2017-04-17 2021-04-07 セレブラス システムズ インク． 加速化ディープラーニングのデータフロー・トリガー・タスク

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130054500A1 (en) * 2011-08-22 2013-02-28 King Fahd University Of Petroleum And Minerals Robust controller for nonlinear mimo systems
CN108462517A (zh) * 2018-03-06 2018-08-28 东南大学 一种基于机器学习的mimo链路自适应传输方法
CN109474980A (zh) * 2018-12-14 2019-03-15 北京科技大学 一种基于深度增强学习的无线网络资源分配方法

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