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User antenna selection method based on block diagonalization method

A technology of antenna selection and block diagonalization, which is applied in the field of communication and can solve problems such as inability to transmit

Inactive Publication Date: 2019-02-01
NAT TIME SERVICE CENT CHINESE ACAD OF SCI
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  • Claims
  • Application Information

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Problems solved by technology

[0003] For the case where the number of user antennas is greater than 1, although the block diagonalization algorithm can achieve co-channel interference-free transmission, it needs to calculate the null space of the channel combination composed of other interfering user channels
The existence of the null space is to ensure the feasibility of the transmission of the block diagonalization precoding algorithm, and the existence of the null space has restrictions on the dimension of the null space, making it impossible to transmit in many cases

Method used

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  • User antenna selection method based on block diagonalization method
  • User antenna selection method based on block diagonalization method
  • User antenna selection method based on block diagonalization method

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Embodiment Construction

[0062] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0063] see figure 1 , to build the MIMO system model

[0064] Consider a multi-user MIMO system downlink, the transmitter has M T root transmit antenna, K users, the kth user has N k receiving antennas, 1≤k≤K, then the multi-user MIMO system is denoted as MU[M T ; N 1 ,N 2 ,...,N K ].

[0065] The data transmitted by the base station to all mobile users is first precoded according to the channel information of each user, and then transmitted in parallel using the same frequency and the same time slot, b k , 1≤k≤K, is the signal vector sent to the kth user, the dimension is L k ×1,T k , 1≤k≤K, is the precoding matrix of the kth signal vector, and its dimension is M T × L k , R k , 1≤k≤K, is the decoding matrix of the kth client, and its dimension is L k ×N k .

[0066] Assuming that multi-user MIMO is a quasi-static flat Rayleigh fading channel,...

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Abstract

The invention discloses a user antenna selection method based on a block diagonalization method. The user antenna selection method takes the minimum symbol error probability as the criterion, and theoptimal user antenna selection subset is an antenna selection subset that makes the minimum signal to interference and noise ratio maximum in all user antenna selection subsets according to the relationship between the minimum symbol error probability upper bound and the minimum signal to interference and noise ratio. The method can not only relax the limitation of the number of transmitting antennas to enable many systems that cannot transmit by using the block diagonalization pre-coding algorithm to perform effective transmission, but also greatly improve the error performance of the system;in terms of capacity, without reducing the capacity, the method but in some cases increases the capacity. Therefore, the method is a very promising technical method in the multi-user MIMO downlink system block diagonalization algorithm.

Description

technical field [0001] The invention relates to the communication field, in particular to a user antenna selection method based on a block diagonalization method. Background technique [0002] The MIMO system has attracted widespread attention because it can greatly improve the system performance and increase the system capacity, especially the multi-user MIMO system in recent years. However, the channel of the multi-user MIMO downlink system is a broadcast channel, and due to the geographical location differences among users, the users cannot cooperate to decode. When the channel state information (CSI) is known at the transmitting end, preprocessing can be performed at the transmitting end so that the signal received by the user end does not contain multi-user interference, so that the receiving end can receive it directly without decoding. When the number of antennas at the user end is 1, the zero-forcing algorithm (ZF) directly calculates the pseudo-inverse of the chann...

Claims

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Application Information

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IPC IPC(8): H04B7/0452H04B7/0456H04B7/06H04B7/08H04B17/391
CPCH04B7/0452H04B7/0456H04B7/0602H04B7/0802H04B17/391
Inventor 王沛卢晓春汪瑞
Owner NAT TIME SERVICE CENT CHINESE ACAD OF SCI
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