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Large-scale MIMO pre-coding method based on Chebyshev iterative method

A technology of Chebyshev and iterative method, which is applied in the field of massive MIMO precoding, can solve the problem of increasing complexity of inverse matrix solution, and achieve the effect of low computational complexity

Inactive Publication Date: 2017-11-17
SOUTHEAST UNIV
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Problems solved by technology

As the number of antennas increases, the complexity of solving the inverse matrix will increase dramatically

Method used

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  • Large-scale MIMO pre-coding method based on Chebyshev iterative method
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  • Large-scale MIMO pre-coding method based on Chebyshev iterative method

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Embodiment Construction

[0032] The specific implementation will be described in detail below.

[0033] step 1)

[0034] Assuming the channel is a slow fading channel, the channel matrix is ​​modeled as:

[0035] H=[h 1 , h 2 ,...,h K ] (1)

[0036] Among them, the number of transmitting antennas of the base station is M, and the number of single-antenna users is K. h k Indicates the kth channel vector, h k ~CN(0 M×1 ,Φ) means h k subject to mean 0 M×1 distribution with variance Φ, 0 M×1 Represents a 0 matrix with M rows and 1 column, Φ is the coherence matrix of the channel, with a bounded spectral norm

[0037] The channel matrix estimated by CSI is:

[0038]

[0039] In the formula, z k yes with h k Independent and identically distributed channel estimation noise, z k ~CN(0 M×1 , Φ), τ represents the quality of channel estimation, if the value of τ is 0, it means that the channel matrix estimated by the base station is the same as the actual channel, when the value of τ is 1, t...

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Abstract

The invention discloses a large-scale MIMO pre-coding method based on a Chebyshev iterative method. The method comprises the following steps that firstly, a base station estimates a channel matrix through obtained channel state information and computes an expression of RZF precoding according to the obtained channel matrix; secondly, the base station adopts the Chebyshev iterative method to carry out iterative estimation on an inverse matrix in an RZF precoding matrix and transforms a process of solving the inverse matrix into matrix addition and matrix multiplication; and lastly, the base station utilizes the obtained precoding matrix to carry out precoding on a transmitting signal. The experimental result shows that the Chebyshev RZF precoding algorithm can obtain an average user arrival rate approximate to the RZF precoding algorithm under the same initial conditions through two iterations, and the computation complexity is low. When the same average user arrival rate is obtained, the complexity of the Chebyshev RZF precoding algorithm is smaller than that of a Newton RZF precoding algorithm, and the rate of convergence is faster.

Description

technical field [0001] The invention belongs to the field of mobile communication, and mainly relates to a massive MIMO precoding method based on a Chebyshev iteration method. technical background [0002] Compared with the traditional MIMO system, the massive MIMO system is equipped with hundreds of antennas at the base station and user end, which can improve the data transmission rate, spectrum efficiency and power efficiency. However, as the number of users increases, there is a large amount of interference between other users in the received signal of the user, so a precoding technology is introduced in the base station to precode the transmitted signal. The precoding technology is that the base station combines channel state information (CSI, channel state information) with a transmitted signal in the downlink. [0003] Precoding algorithms can be classified into linear precoding and non-linear precoding according to operation characteristics. Linear precoding mainly ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0456
CPCH04B7/0456
Inventor 李正权张弛燕锋夏玮玮沈连丰孙垚垚胡静宋铁成
Owner SOUTHEAST UNIV
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