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A Clustering Calculation Method for Cell-free Massive MIMO Networks Based on the Probability of Successful Transmission

A technology of transmission probability and calculation method, applied in the direction of transmission system, radio transmission system, electrical components, etc., can solve problems such as inability to guarantee network performance, and achieve the effects of reducing system complexity, good practical value, and high precision

Active Publication Date: 2021-09-03
HARBIN INST OF TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the existing AP clustering method cannot guarantee the performance of the network, and proposes a Cell-Free Massive MIMO network clustering calculation method based on the probability of successful transmission

Method used

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  • A Clustering Calculation Method for Cell-free Massive MIMO Networks Based on the Probability of Successful Transmission
  • A Clustering Calculation Method for Cell-free Massive MIMO Networks Based on the Probability of Successful Transmission
  • A Clustering Calculation Method for Cell-free Massive MIMO Networks Based on the Probability of Successful Transmission

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specific Embodiment approach 1

[0015] Specific implementation mode one: combine Figure 4 This embodiment will be described. A kind of Cell-Free Massive MIMO network clustering calculation method based on successful transmission probability described in this embodiment, the method comprises the following steps:

[0016] Step 1. Calculate the AP density λ in the network b ;

[0017] Step 2. Obtain the downlink transmission rate requirement γ according to the spectrum efficiency;

[0018] Step 3. According to the AP density λ b and the downlink transmission rate requirement γ to calculate the AP clustering radius R, that is, to obtain the AP clustering result;

[0019] Step 4, each AP in the network serves the user according to the clustering result.

specific Embodiment approach 2

[0020] Specific implementation mode two: the difference between this implementation mode and specific implementation mode one is: the specific process of the step one is:

[0021]

[0022] Among them, K 0 is the total number of APs in the area of ​​interest, S 0 is the size of the area of ​​interest, the unit is m 2 .

specific Embodiment approach 3

[0023] Specific implementation mode three: the difference between this implementation mode and specific implementation mode two is: the specific process of said step two is:

[0024] gamma=2 υ -1

[0025] Among them: υ is the spectral efficiency, the unit is bit / s / Hz.

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Abstract

The invention relates to a Cell-Free Massive MIMO network clustering calculation method based on the probability of successful transmission, which belongs to the technical field of wireless cooperative communication. The invention solves the problem that the existing AP clustering method cannot guarantee the performance of the network. The concrete implementation process of the inventive method is: step 1, calculate the AP density λ in the network b ; Step 2. According to the spectral efficiency, obtain the downlink transmission rate requirement γ; Step 3. According to the AP density λ b Calculate the AP clustering radius R with the downlink transmission rate requirement γ, that is, obtain the AP clustering result; step 4, each AP in the network serves the user according to the clustering result. The present invention can be applied to AP clustering of Cell-Free Massive MIMO network.

Description

technical field [0001] The invention belongs to the technical field of wireless cooperative communication, and in particular relates to a cell-free massive MIMO network clustering calculation method based on the probability of successful transmission. Background technique [0002] Massive MIMO is the core technology of 5G wireless access. Compared with traditional Multi-User MIMO, the number of antennas deployed on the base station (BS) in each cell is much larger than the number of user equipment (UE) it serves. It adopts space division multiple access (SDMA) technology to obtain multiplexing gain by simultaneously providing services for multiple user equipments through the same time-frequency resource. Thanks to channel hardening and favorable transmission, each base station can perform simple signal processing without any cooperation to suppress interference from the same cell and other cells, and obtain high spectral efficiency, high energy efficiency, high reliability, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W40/32H04W40/12H04B7/0413
CPCH04B7/0413H04W40/12H04W40/32
Inventor 吴少川周晓康夏慧云李壮
Owner HARBIN INST OF TECH