Large-scale MIMO multi-user self-adaptive low-complexity channel estimation in FDD

A channel estimation, low-complexity technology, applied in the field of channel estimation algorithms for multi-user large-scale multiple-input multiple-output systems, can solve problems such as large training overhead, longer training time, and meaningless channel estimation, and improve accuracy. , the effect of reducing overhead

Inactive Publication Date: 2017-11-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

In this case, the number of pilot signals is proportional to the number of base station antennas. Due to the huge number of antennas in massive MIMO systems, conventional channel estimation methods (such as the least squares method) will face huge training overhead, making the training time become shorter. Long, even exceeding the channel's dry time, making channel estimation meaningless

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  • Large-scale MIMO multi-user self-adaptive low-complexity channel estimation in FDD
  • Large-scale MIMO multi-user self-adaptive low-complexity channel estimation in FDD
  • Large-scale MIMO multi-user self-adaptive low-complexity channel estimation in FDD

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[0042] The present invention will be further described in detail below in conjunction with specific embodiments.

[0043] Assuming that the number of users is K=20, the base station and the user end are each equipped with a uniform linear array (ULA), and the number of antennas of the base station is N=128, 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.

[0044] 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.

[0045] S1. Initialization, specifically:

[0046] S11, BS uses T time slots to broadcast T pilot signals to 20 MSs P=[P (1 ),P (2) ,...,P (T) ]∈C N×T , where the number of antennas N of the BS is 128, and the pilot signal P in the mathematical model of MIMO channel estimation is transformed into...

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Abstract

The invention belonging to the field of the wireless communication technology relates to a channel estimation algorithm of a multi-user large-scale multiple-input multiple-output (MIMO) system in a frequency division duplexing (FDD) mode. According to joint sparsity of a multi-user large-scale MIMO channel, channel estimation and reconstruction are carried out by approximate replacement and iterative estimation algorithms based on a Bayesian compressed sensing theory. With the method provided by the invention, the process of direct matrix inversion of the posterior probability of X obtained by the EM algorithm is avoided, so that the operation complexity is reduced, the operation load is reduced, the operation speed is increased, and the operation precision is improved.

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...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02H04B7/0452
CPCH04B7/0452H04L25/0204H04L25/0242
Inventor 孙晶晶成先涛
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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