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A pilot design method based on phase shift in massive mimo system

A pilot design, large-scale technology, applied in the field of pilot design based on phase shift, can solve the problems that the phase shift is not optimal, the large-scale information is taken into account, and the system performance is not particularly ideal, so as to reduce pilot pollution. , the effect of improving system performance, channel estimation accuracy and spectral efficiency

Active Publication Date: 2019-03-01
展视网(北京)科技有限公司
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Problems solved by technology

However, this document treats all cells and all users in the cell equally when designing the phase offset value of each cell, and does not take large-scale information into account, and this document conducts a pilot length when designing the phase shift However, the obtained phase shift is not optimal, so the improvement of system performance is not particularly ideal

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  • A pilot design method based on phase shift in massive mimo system
  • A pilot design method based on phase shift in massive mimo system
  • A pilot design method based on phase shift in massive mimo system

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Embodiment Construction

[0054] The present invention will be further described in detail below in conjunction with specific embodiments, which are explanations of the present invention rather than limitations.

[0055] The invention relates to a pilot design method based on phase shift in a massive MIMO system. The core idea of ​​this scheme is: firstly, to establish an optimization problem with the goal of minimizing the sum of interference in the system, and then use the discrete particle swarm search algorithm to solve the optimization problem, so as to obtain the phase offset value of each cell in the system; In the second step, on the basis of the phase offset value obtained in the first step, a pilot allocation algorithm of tabu search is used to further reduce pilot pollution.

[0056] Specifically, in this preferred example, the cellular wireless communication system is taken as an example, such as figure 1 shown. The system contains L cells, each cell includes a base station placed in the ...

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Abstract

The present invention relates to a phase shift-based pilot frequency design method in a large-scale MIMO system. The method comprises the following steps of 1 establishing an optimization problem by taking the minimum interference sum in a system as a target, and designing a phase shift value of each cell in the system; 2 adopting a discrete particle swarm search algorithm to solve the optimization problem in the step 1 to obtain the phase shift value of each cell; 3 on the basis of the phase shift values obtained in the step 2, adopting a tabu search-based pilot frequency distribution algorithm to obtain a pilot frequency design scheme capable of reducing the pilot frequency pollution. According to the present invention, by establishing and solving the optimization problem of the minimum interference in the system, the correlation of the pilot frequency matrixes between two cells of large mutual interference is weak, and the correlation of the pilot frequency matrixes between two cells of small mutual interference is strong, thereby reducing the pilot frequency pollution. On the basis of the pilot frequency phase shift, by adopting a pilot frequency distribution scheme of low complexity and a tabu search-based pilot frequency distribution method, the channel estimation precision and the frequency spectrum efficiency of the system are improved.

Description

technical field [0001] The invention belongs to the field of uplink channel estimation in a massive MIMO system in wireless communication, relates to pilot sequence generation and pilot scheduling in a massive MIMO system, and is specifically a phase-shift-based pilot in a massive MIMO system design method. Background technique [0002] In order to improve the utilization of limited spectrum resources and meet people's increasing wireless communication needs, massive MIMO (Large Scale MIMO or Massive MIMO) has become one of the key technologies for the new generation of wireless communication systems. It serves dozens of users using the same time-frequency resources at the same time through a base station equipped with hundreds of antennas. Studies have shown that as the number of base station antennas increases, noise and irrelevant inter-cell interference will be negligible; and simple signal processing methods such as Maximum Ratio Combining (Maximum Ratio Combining, MRC...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L5/00H04B7/0413H04B7/0456H04B7/08
CPCH04B7/0413H04B7/0456H04B7/0854H04L5/0048
Inventor 张国梅王杰吕刚明李国兵
Owner 展视网(北京)科技有限公司
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