User clustering method and system based on large-scale MIMO-NOMA system and medium

A MIMO-NOMA, large-scale technology, applied in the transmission system, radio transmission system, transmission monitoring, etc., can solve the problems of unsatisfactory frequency performance and user channel gain.

Active Publication Date: 2021-08-31
CENT SOUTH UNIV
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Problems solved by technology

However, most of the existing methods are based on channel coherence algorithms to cluster and select users, or consider channel differences to maximize the performance of serial interference cancellation, or do not consider user channel gain. The performance is not ideal

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  • User clustering method and system based on large-scale MIMO-NOMA system and medium
  • User clustering method and system based on large-scale MIMO-NOMA system and medium
  • User clustering method and system based on large-scale MIMO-NOMA system and medium

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0047] In this example, the communication system used in the simulation is a millimeter-wave massive MIMO-NOMA hybrid precoding system. The initial parameters include: the number of transmitting antennas N t is 64, the number of receiving antennas N r is 1, the number of radio frequency links N t RF is 4, the number of users K is 8, the number of paths L of each user is 3, the total power is 30, the first and second channel coherence thresholds δ 1 ,δ 2 , are 0.2 and 0.8 respectively. If the channel coherence threshold is too loose, although the channel gain between user pairs is large enough, the channel coherence will be unsatisfactory. If the channel coherence threshold is very strict, then It is very likely that the channel coherence meets the requirements, but the channel gain is not optimal.

[0048] For the convenience of simulation, it is a...

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Abstract

The invention discloses a user clustering method and system based on a large-scale MIMO-NOMA system, and a medium, and the method comprises the following steps: 1, determining a channel matrix H according to a selected channel model, calculating the channel gain of a user, and carrying out the sorting; 2, determining boundary users and confirming an initial cluster head by calculating the channel coherence degree of the users; 3, calculating the channel coherence degree between the cluster head set and the candidate user set, setting a threshold value, selecting all cluster heads, and determining a cluster head set gamma; 4, calculating the channel coherence degree and channel difference between the remaining users and the cluster head set, setting a channel coherence degree threshold value delta 2, and finally determining the user grouping condition. The user clustering algorithm provided by the invention not only is beneficial to eliminating inter-cluster interference and increasing multiplexing gain, but also has better frequency efficiency performance compared with a traditional OMA structure under the same condition.

Description

technical field [0001] The invention belongs to the field of 5G millimeter wave massive MIMO-NOMA communication systems, and in particular relates to a user clustering method, system and medium based on massive MIMO-NOMA. Background technique [0002] In the fifth-generation mobile communication system, millimeter-wave massive MIMO-NOMA (Multiple Input Multiple Output-Nonorthogonal multiple access, multiple input multiple output) technology has become an emerging research field. Among them, the millimeter-wave frequency band has abundant spectrum resources, but due to its short wavelength, it will cause serious propagation path loss problems, and massive MIMO technology can significantly overcome the serious problem of millimeter-wave transmission fading by increasing the array gain; massive MIMO Technology uses millimeter wave technology to reduce the distance between antennas to reduce the size of the antenna array, which can increase the system capacity, and the combined ...

Claims

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Application Information

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IPC IPC(8): H04W24/02H04W24/06H04W40/32H04B7/0452H04B17/382
CPCH04W24/02H04W24/06H04W40/32H04B7/0452H04B17/382
Inventor 邓宏贵朱早星刘吉泰张文涓
Owner CENT SOUTH UNIV
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