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Massive MIMO (Multiple Input Multiple Output) channel estimation method

A channel estimation and channel technology, applied in channel estimation, radio transmission system, baseband system, etc., to achieve the effect of reducing overhead

Inactive Publication Date: 2017-02-22
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

The main purpose of the EM algorithm is to provide a simple iterative algorithm to calculate the posterior density function. Its biggest advantage is simplicity and stability, but it is easy to fall into local optimum

Method used

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  • Massive MIMO (Multiple Input Multiple Output) channel estimation method
  • Massive MIMO (Multiple Input Multiple Output) channel estimation method
  • Massive MIMO (Multiple Input Multiple Output) channel estimation method

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Embodiment Construction

[0049] The present invention will be further described in detail below in conjunction with specific embodiments.

[0050] figure 1 A schematic diagram of a multi-user massive MIMO channel.

[0051] Assuming that the number of users is K=20, the base station and the user end are respectively configured with a uniform linear array (ULA), and the number of antennas of the base station is N=160, and the number of antennas of each user is the same and M=2. Assuming that the number of sparse supports (sparseness) of each user channel is the same and S=15, the common number of sparse supports Sc=8.

[0052] figure 2 It is a flow chart of multi-user massive MIMO channel estimation. According to the flow chart, the above parameters can be used to simulate the algorithm.

[0053] S1. Initialization, specifically:

[0054] S11, BS uses T time slots to broadcast T pilot signals X to 20 MSs P =[x (1) ,x (2) ,...,x (T) ]∈C N×T , where the number of antennas N of the BS is taken as...

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Abstract

The invention belongs to the technical field of wireless communication, and particularly relates to a channel estimation algorithm for a multi-user massive MIMO (Multiple Input Multiple Output) system under a frequency division duplex (FDD) mode. In the multi-user massive MIMO system, channel estimation is realized by a sparse signal recovering technology through an inference method based on Bayes compressed sensing, and channel estimation overhead of the FDD massive MIMO system can be lowered greatly.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a channel estimation algorithm of a multi-user large-scale multiple input multiple output (Multiple Input Multiple Output, MIMO) system in a frequency division duplex (FDD) mode. Background technique [0002] The massive MIMO system is one of the key technologies of the fifth generation mobile communication system. Its main advantages are: the system capacity increases with the increase of the number of antennas; the transmission signal power is reduced; the simple current precoder and detector can achieve the maximum Excellent performance; the area between channels is orthogonalized, which eliminates co-channel interference in the cell. [0003] The prerequisite for realizing these advantages is that the base station (BS) knows the channel state information (CSIT). In a Time Division Duplex (TDD) system, channel estimation is performed at the user end...

Claims

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Application Information

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IPC IPC(8): H04L25/02H04B7/0452
CPCH04L25/024H04B7/0452H04L25/0242
Inventor 孙晶晶成先涛
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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