Large-scale MIMO (Multiple Input Multiple Output) precoding method based on improved newton iteration method

A Newton iteration method and Newton iteration technology, applied in the field of mobile communication, can solve problems such as high computational complexity, and achieve the effect of speeding up the convergence speed

Active Publication Date: 2017-05-31
SOUTHEAST UNIV
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  • Abstract
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Problems solved by technology

However, as the number of antennas increases, RZF precoding has a high-dimensional matrix inversion process, which has high computational complexity.

Method used

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  • Large-scale MIMO (Multiple Input Multiple Output) precoding method based on improved newton iteration method
  • Large-scale MIMO (Multiple Input Multiple Output) precoding method based on improved newton iteration method
  • Large-scale MIMO (Multiple Input Multiple Output) precoding method based on improved newton iteration method

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Embodiment Construction

[0036] The specific implementation will be described in detail below.

[0037] step 1)

[0038] Assuming the channel is a slow fading channel, the channel matrix is ​​modeled as:

[0039] h k ~CN(0 M×1 ,Φ)k=1,...,K (1)

[0040] In the formula, is the coherence matrix of the channel with a bounded spectral norm, M is the number of transmit antennas, and K is the number of receive antennas. Suppose the estimated channel has the following expression:

[0041]

[0042] where h k is the actual channel, 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 τ value is 0, it indicates that the system has high-quality channel estimation, and τ value is 1, it indicates that the channel estimation obtained by the system is meaningless. The final estimated channel matrix is

[0043]

[0044] The signal received by the kth user can be expressed as:

[0045]

[0046] In...

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Abstract

The invention discloses a large-scale MIMO (Multiple Input Multiple Output) precoding method based on an improved newton iteration method. The method comprises the following steps of firstly estimating a channel matrix, and calculating an RZF precoding expression through the obtained channel matrix; then adopting the newton iteration method for estimating an inverse matrix in an RZF precoding algorithm, and converting matrix inverse operation into matrix addition and matrix multiplication operation; finally utilizing an obtained precoding matrix for precoding a sending signal. The improved newton iteration method is characterized by building a high-order iteration formula, transforming a characteristic value located near 0 to closer to 1 , and remaining a characteristic value near 1 unchanged, so that the convergence rate of newton iteration is accelerated. An experimental result shows that when the iteration times exceeds four times, the performance of a traditional newton iteration method is superior to an inverse matrix estimation algorithm based on taylor series expansion. When the iteration times is 2, the improved newton iteration optimization algorithm can acquire around 95 percent of RZF precoding average client arrival rate.

Description

technical field [0001] The invention belongs to the field of mobile communication, and mainly relates to a large-scale MIMO precoding method based on improved Newton iteration. [0002] technical background [0003] The massive MIMO system is one of the key technologies of the fifth-generation mobile communication system. By configuring a large number of antennas at the base station and the user end, the channel capacity, data transmission rate, spectrum efficiency and communication quality of the system can be significantly improved. As the number of users increases, there will be a lot of inter-user interference in the signals received by users, so precoding technology is introduced at the transmitting end. In the downlink, the base station first obtains channel state information (CSI, channel state information) through channel estimation, and then precodes the modulated transmitted signal based on the CSI, so as to eliminate inter-user interference and match channel fading...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0456H04B7/0413H04L25/02
CPCH04B7/0413H04B7/0456H04L25/0204
Inventor 李正权满勇强张弛燕锋夏玮玮沈连丰王兵胡静宋铁成
Owner SOUTHEAST UNIV
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