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

The disclosure 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 associ...

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Bibliographic Details
Main Authors Chiu, Wei-Yu, Tsai, Sung-Yu
Format Patent
LanguageEnglish
Published 14.10.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
TRANSMISSION
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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Summary:The disclosure 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.
Bibliography:Application Number: US202016894894