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Model training method for user association and resource allocation in NOMA network

A network model and resource allocation technology, applied in the computer field, can solve problems such as inability to obtain network information and difficulty in implementing optimization strategies.

Active Publication Date: 2021-01-26
BEIJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In the actual network, complete network information cannot be obtained, which makes the above optimization strategies difficult to implement

Method used

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  • Model training method for user association and resource allocation in NOMA network
  • Model training method for user association and resource allocation in NOMA network
  • Model training method for user association and resource allocation in NOMA network

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Embodiment Construction

[0048] Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily realize them. Also, for clarity, parts not related to describing the exemplary embodiments are omitted in the drawings.

[0049] In the present disclosure, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, numbers, steps, acts, components, parts or combinations thereof disclosed in the specification, and are not intended to exclude one or a plurality of other features, numbers, steps, acts, parts, parts or combinations thereof exist or are added.

[0050] In addition, it should be noted that, in the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings...

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Abstract

The embodiment of the invention discloses a model training method for user association and resource allocation in an NOMA network. The method comprises the following steps of obtaining a user association and resource allocation model; acquiring a first transmission rate of sample user equipment in the NOMA heterogeneous network at a sampling moment, the first time required by the sample user equipment to process a task at the sampling moment, and first power allocated by the sample user equipment from an accessed base station at the sampling moment; taking the first transmission rate, the first time and the first power of the sample user equipment as an input state of an Actor network in the DDPG network model, and obtaining a prediction action output by the Actor network; determining a next state corresponding to the prediction action according to an NOMA mechanism, and calculating an award corresponding to the prediction action; adding an input state, the prediction action, the reward and the next state into a sample data set as sample data; and training a DDPG network model by using the sample data set.

Description

technical field [0001] The present disclosure relates to the technical field of computer technology, and in particular to a model training method, device, electronic equipment and storage medium for user association and resource allocation in a NOMA network. Background technique [0002] In modern society, with the rapid increase in the number of wireless devices, it is a hot issue and a thorny issue to meet the huge needs of many users in terms of wireless spectrum and network capacity in the existing network. In modern wireless networks, multiple user terminals are connected to a base station to form a cell. With the development of the times, the concept of the network has undergone many changes, and one of the important network types - heterogeneous network, is regarded as a very ideal technology in the next generation community network system. The heterogeneous network in this paper is divided into three layers: MBS (Marcocell Base Station, macro cell base station) laye...

Claims

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Application Information

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IPC IPC(8): H04W72/04H04W52/34
CPCH04W72/04H04W52/34
Inventor 景文鹏李子木赵书越路兆铭温向明
Owner BEIJING UNIV OF POSTS & TELECOMM
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