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Multiuser channel estimation method under large-scale MIMO system and DP priority

A channel estimation and multi-user technology, applied in the direction of baseband system components, etc., to reduce overhead and improve accuracy

Active Publication Date: 2017-11-21
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, whether we use cross-validation or marginal probabilities, model selection faces many problems

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  • Multiuser channel estimation method under large-scale MIMO system and DP priority
  • Multiuser channel estimation method under large-scale MIMO system and DP priority
  • Multiuser channel estimation method under large-scale MIMO system and DP priority

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Embodiment Construction

[0064] Below in conjunction with specific accompanying drawing and embodiment, the present invention is described in further detail:

[0065] figure 2 It is a schematic diagram of channel H sparsity.

[0066] Suppose channel H contains row vector H of F users f ; Each user channel column vector H f The dimension Nx1 of contains S sparsity, take N=100, S=10. Assuming that the channel H contains 4 different clusters, the sparse positions in different clusters do not overlap, and the user channel H in the same cluster f Among the S sparsities of , there are Sc common sparsities, S-Sc private sparsities, and the positions of private sparsities in channel H are completely different, and Sc=7. The parameter K in the Dirichlet distribution prior is 30.

[0067] image 3 It is a flowchart of the algorithm of the present invention, according to the flowchart, the algorithm can be simulated using the above parameters.

[0068] S1. Set F=20, that is, the channel H contains 20 use...

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Abstract

The invention belongs to the technical field of the wireless communication, specifically a channel of a multiuser large-scale MIMO system under a FDD mode, and relates to a multiuser channel estimation method under large-scale MIMO system and DP priority. The method comprises the following steps: realizing the self-adaptive clustering of the multiuser channel by using the Dirichlet distribution feature, and deriving a method capable of intelligent reconstructing the channel H under the variational Bayesian principle. Compared with the ordinary channel estimation method, the training expenditure of achieving the ideal estimation performance is greatly reduced, and the error between the reconstructed channel and the real channel is small. Compared with the traditional method, the method has the advantages that the computational burden is simplified, the operation speed and the operation precision are improved, and the accuracy of the channel estimation is improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a channel estimation method 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 (MS) by utilizin...

Claims

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Application Information

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IPC IPC(8): H04L25/02
Inventor 孙晶晶成先涛
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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