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Channel estimation method based on user division under three-dimensional large-scale MIMO

A channel estimation, large-scale technology, applied in the direction of channel estimation, baseband system, baseband system components, etc., can solve user information that cannot make good use of three-dimensional channel space, high computational complexity and feedback overhead, and performance depends on experience Value accuracy and other issues, to achieve high adaptability, reduce feedback overhead, and high feedback overhead

Active Publication Date: 2019-08-09
XIDIAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method has low computational complexity, but it cannot make good use of the user information in the three-dimensional channel space; the division method based on the vertical angle of the user with a fixed threshold is based on an empirical value of the vertical downtilt angle as the division threshold, which can be better The use of three-dimensional space channel information, but its performance depends on the accuracy of the empirical value; the user division method of the dynamic threshold is affected by certain factors in the system and the threshold is dynamically changed, and users can be divided more accurately according to the actual situation of the system , but due to the need to constantly update the threshold, its computational complexity and feedback overhead are high
[0005] Among the above user division methods, the user division method with a fixed threshold cannot adapt to changes in parameters such as the number of system antennas.
In the dynamic threshold user division method, the threshold value is related to user changes, and the computational complexity and feedback overhead are relatively high.

Method used

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  • Channel estimation method based on user division under three-dimensional large-scale MIMO
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  • Channel estimation method based on user division under three-dimensional large-scale MIMO

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Embodiment 1

[0026] 5G has become the focus of current industry research due to its high bandwidth, low latency, and wide connection characteristics. Massive MIMO technology has brought about an increase in data transmission rate and energy efficiency through the increase in the number of antennas, and has become one of the key technologies for the next-generation 5G communication system. Pilot pollution is the main factor affecting the performance of massive MIMO multi-cell multi-user system. In order to reduce the influence of pilot pollution, some users are divided into cell center users and edge users. Center users and edge users perform channel estimation separately. Among the commonly used user division methods, the user division method with a fixed threshold cannot adapt to changes in parameters such as the number of system antennas. The user division method with a dynamic threshold has a threshold value related to user changes, and the calculation complexity and feedback overhead a...

Embodiment 2

[0036] The channel estimation method based on user division under 3D massive MIMO is the same as embodiment 1, the user division described in step 2, including the following steps:

[0037] (2a) Determine the division angle: for the one-ring channel model in massive MIMO, construct the user vertical channel covariance matrix according to the downtilt angle of user k in cell b and the rank of the covariance matrix Ideally, the rank rank(R E ) for comparison, and determine the angle in the vertical direction of the user when the rank of the covariance matrix is ​​1 is the division angle θ 0 . The present invention also proves that it is feasible to take the downtilt angle when the channel covariance matrix rank of the user vertical dimension is 1 as the user division angle through experimental data.

[0038] (2b) Divide users: according to the downtilt angle θ of each user bk , the division angle θ with the vertical direction 0 For comparison, if 90°≤θ bk 0 Then the user...

Embodiment 3

[0040] The channel estimation method based on user division under the three-dimensional massive MIMO is the same as that of embodiment 1-2, and the pilot allocation described in step 3 includes the following steps:

[0041] (3a) Uplink channel estimation: see figure 2 , there are L cells in the multi-cell system, c is the serial number of each cell, satisfying c=1,...,L,N h is the number of horizontal antennas at the base station, N v is the number of vertical antennas at the base station, N t is the total number of base station antennas, satisfying N t =N h ×N v , with cell b as the reference cell, users in each cell simultaneously send uplink pilot sequences of length τ to it, at this time, the received signal at the base station side of cell b Expressed as:

[0042]

[0043] where ρ P is the transmission power of the pilot, H bc =[h bc1 ,h bc2 ,...,h bcK ] is the channel matrix from all users in cell c to the base station in cell b, K is the number of users ...

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Abstract

The invention provides a channel estimation method based on user division under three-dimensional large-scale MIMO, and solves the problem of low channel estimation precision caused by pilot frequencypollution in the prior art. The method comprises the following implementation steps: firstly, constructing a three-dimensional large-scale MIMO channel model; dividing the users into central users oredge users according to a given division angle; and adopting a soft pilot frequency multiplexing method for the central user and the edge users, and projecting the channel matrix of the central userto the zero space of the edge region and the adjacent cell region to complete uplink channel estimation. All users are divided into central users and edge users, and orthogonal projection is carried out on the central users on the basis of soft pilot frequency multiplexing. On the premise of low computational complexity, the accuracy of channel estimation is effectively improved, and the method can be used for pilot frequency depollution and inter-cell interference suppression of a three-dimensional large-scale MIMO multi-cell multi-user system.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to massive MIMO channel estimation, in particular to a channel estimation method based on user division under three-dimensional massive MIMO, which is used to reduce the influence of pilot pollution of three-dimensional massive MIMO multi-cell multi-user system . Background technique [0002] As one of the key technologies of the next-generation 5G communication system, massive MIMO technology has attracted extensive attention and research. Massive MIMO technology can make full use of spatial degrees of freedom, significantly improving spectrum efficiency and reliability of data links. However, there is a serious pilot pollution problem in the massive MIMO multi-cell system, which has a serious impact on the channel estimation of the users in the cell, especially the users at the edge of the cell, and is an important factor restricting the capacity perfor...

Claims

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Application Information

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IPC IPC(8): H04B7/0413H04L25/02H04L25/03
CPCH04B7/0413H04L25/0202H04L25/0204H04L25/0242H04L25/03159
Inventor 李勇朝廖方圆卜林菁刘灿张锐阮玉晗李涛
Owner XIDIAN UNIV
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