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Scheduling method and device in communication system and storage medium

A communication system and scheduling method technology, applied in the field of communication, can solve the problem of low communication system performance, achieve good performance, reasonable scheduling strategy, and reduce capacity requirements

Active Publication Date: 2020-09-22
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The embodiment of the present application provides a scheduling method, device and storage medium in a communication system to solve the problem of low performance of the existing communication system

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  • Scheduling method and device in communication system and storage medium
  • Scheduling method and device in communication system and storage medium
  • Scheduling method and device in communication system and storage medium

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Embodiment Construction

[0118] Below, some terms in the embodiments of the present application are explained, so that those skilled in the art can understand:

[0119] Reinforcement Learning:

[0120] Reinforcement learning is an important machine learning method, which has many applications in the fields of intelligent control of robots and analysis and prediction. Reinforcement learning can take learning as a trial and evaluation process, and the subject of reinforcement learning can obtain the maximum expected benefits through the interaction process with the environment, and learn the optimal behavior. Exemplary, figure 1 Schematic diagram of the principle of reinforcement learning. Such as figure 1 As shown, the subject obtains the current state by observing the environment, and decides an action (action) to be used in the environment according to a certain control rule (policy). After the environment receives and implements the action, the state changes, and at the same time generates A rew...

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Abstract

The embodiment of the invention provides a scheduling method and device in a communication system and a storage medium. The method comprises the steps: enabling communication equipment to acquire system state information, wherein the system state information comprises network state information; obtaining a scheduling strategy based on the system state information and a deep neural network; carrying out the communication based on the scheduling strategy. Due to a fact that the deep neural network is obtained by training based on historical system state information and the historical system state information comprises system state information in all scheduling periods before the current scheduling period, the scheduling strategy obtained based on the deep neural network can meet the balancerequirement of user throughput and fairness, and the problem of low performance of an existing communication system is solved.

Description

technical field [0001] The present application relates to the technical field of communication, and in particular to a scheduling method, device and storage medium in a communication system. Background technique [0002] In wireless communication systems, media access control (MAC) layer scheduling is mainly used to solve time-frequency domain resource allocation, power control, modulation and coding scheme (MCS) selection, user pairing, precoding Matrix computation and other issues to achieve the balance of throughput and user fairness in communication systems. [0003] In the prior art, the scheduling method based on the MAC layer mainly regards the communication system as a definite model, and obtains a scheduling scheme through a scheduling algorithm, so that terminal devices implement scheduling based on the obtained scheduling scheme. For example, in a resource block group (resource block group, RBG) allocation process in a cellular network, a proportional fair (propo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/12H04L1/18H04L5/00
CPCH04L1/1812H04L5/0055H04W72/535G06N3/006G06N3/08H04L1/1854H04L2001/0093
Inventor 王坚徐晨李榕秦大力王俊
Owner HUAWEI TECH CO LTD