COMMUNICATION TIME ALLOCATION METHOD USING REINFORCEMENT LEARNING FOR WIRELESS POWERED COMMUNICATION NETWORK AND BASE STATION

專利類型

發明

專利國別 (專利申請國家)

美國

專利申請案號

16/894,894

專利證號

US 11,323,167

專利獲證名稱

COMMUNICATION TIME ALLOCATION METHOD USING REINFORCEMENT LEARNING FOR WIRELESS POWERED COMMUNICATION NETWORK AND BASE STATION

專利所屬機關 (申請機關)

國立清華大學

獲證日期

2022/05/03

技術說明

【中文】本發明提供一種無線電力驅動通訊網路的強化學習通訊時間分配方法及基地台。所述方法包括：依據關聯於通訊節點的總估計吞吐量的目標函數決定對應於第t個時間區塊的通訊時間分配；要求各通訊節點在第t個時間區塊中依據對應的通訊時間區間執行特定通訊行為；取得各通訊節點在第t個時間區塊中的實際吞吐量；依據各通訊節點在第t個時間區塊中的實際吞吐量、權重向量及估計吞吐量產生各通訊節點在第t+1個時間區塊中的權重向量。 【英文】The invention provides a communication time allocation method using reinforcement learning for a wireless powered communication network and a base station. The method includes: determining a communication time allocation corresponding to the t-th time block according to an objective function associated with the total estimated throughput of the communication nodes; requesting each communication node to perform specific communication behaviors according to the corresponding communication time interval in the t-th time block; obtaining the actual throughput of each communication node in the t-th time block; generating the weight vector of each communication node in the (t+1)-th time block according to the actual throughput, the weight vector, and the estimated throughput of each communication node in the t-th time block.

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