Massive MIMO beam domain robust precoding transmission method and system
The present invention discloses a massive multiple-input multiple-output (MIMO) beam domain robust precoding transmission method and system. The method is based on base station (BS)-side and user-side refined sampling steering vector matrices, and considers the influence of channel aging caused by mobility, where obtained channel state information is refined beam domain a posteriori statistical channel information including channel mean and variance information. In the present invention, the BS performs robust precoding transmission by using the refined beam domain a posteriori statistical channel information, where a channel model on which the adopted refined beam domain a posteriori statistical channel information depends is a channel model which corresponds to a refined sampling space angle and adopts a steering vector matrix; the used statistical channel information is more sufficient and accurate, so that the problem of universality of massive MIMO to various typical mobile scenarios under the condition that the antenna size is limited can be solved; and high spectral efficiency is achieved, and the provided robust precoding design utilizes the sparsity of a beam domain channel and the structural characteristics of a sampling steering vector matrix, so that the calculation complexity can be greatly reduced.
1. A massive multiple-input multiple-output (MIMO) beam domain robust precoding transmission method, comprising:
receiving a pilot signal transmitted by a mobile terminal or obtaining known channel information;
transforming the received pilot signal or the obtained known channel information into a refined beam domain through a refined sampling steering vector matrix;
obtaining a priori statistical channel information of user equipments (UEs) in the refined beam domain by using sample statistics in the refined beam domain, wherein the refined beam domain is a refined beam domain with a multiple of 1 or a refined beam domain with an integer multiple or a fraction multiple greater than 1, and a refined beam domain channel and an antenna domain channel are converted into each other through a refined sampling steering vector matrix;
obtaining a posteriori statistical channel information of the UEs in the refined beam domain based on a pilot signal and the a priori statistical channel information in the refined beam domain, wherein the a posteriori statistical channel information comprises channel mean and variance information in the refined beam domain; and
performing robust precoding transmission by using the a posteriori statistical channel information comprising the channel mean and variance information in the refined beam domain.
2. The massive MIMO beam domain robust precoding transmission method according to claim 1 , wherein the antenna domain channel is obtained after the refined beam domain channel is left-multiplied by a user-side refined sampling steering vector matrix and right-multiplied by a conjugate matrix of a base station (BS)-side refined sampling steering vector matrix.
3. The massive MIMO beam domain robust precoding transmission method according to claim 1 , wherein the a priori statistical channel information in the refined beam domain is obtained by a BS through uplink channel sounding; or obtained by a UE through downlink channel sounding.
4. The massive MIMO beam domain robust precoding transmission method according to claim 1 , wherein the a posteriori statistical channel information in the refined beam domain is obtained by a BS through channel estimation and prediction by using an uplink pilot signal and the a priori statistical channel information in the refined beam domain; or obtained by a UE through channel estimation, prediction, and feedback by using a downlink pilot signal and the a priori statistical channel information in the refined beam domain.
5. The massive MIMO beam domain robust precoding transmission method according to claim 1 , wherein channel mean and variance information of an a posteriori statistical channel model in the refined beam domain is a posteriori mean and a posteriori variance information of the channel in the refined beam domain; and the a posteriori mean and a posteriori variance information of the channel comprises:
conditional mean and conditional variance information in the refined beam domain under a condition that a BS receives an uplink pilot signal; or
conditional mean and conditional variance information in the refined beam domain under a condition that a UE receives a downlink pilot signal.
6. The massive MIMO beam domain robust precoding transmission method according to claim 1 , wherein the obtaining the a priori statistical channel information of the UEs in the refined beam domain by using sample statistics in the refined beam domain is specifically: solving a channel energy matrix according to the sample statistics in the refined beam domain and an equation of a function matrix of the channel energy matrix, wherein in the equation, only the channel energy matrix or channel amplitude matrix is an unknown matrix, and other matrices are known matrices.
7. The massive MIMO beam domain robust precoding transmission method according to claim 1 , wherein in the robust precoding transmission, a BS performs linear precoding matrix design of the UEs according to a weighted ergodic sum rate maximization criterion, and a weighted ergodic sum rate is a conditional mean of a weighted sum rate calculated according to the a posteriori statistical channel information in the refined beam domain.
8. The massive MIMO beam domain robust precoding transmission method according to claim 7 , wherein the weighted ergodic sum rate maximization criterion is replaced with an upper bound of the weighted ergodic sum rate maximization criterion; or a sum rate in the weighted ergodic sum rate maximization criterion is replaced with a deterministic equivalent thereof.
9. A computing device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when being loaded to the processor, implements the massive MIMO beam domain robust precoding transmission method according to claim 1 , or the massive MIMO beam domain robust precoding design method based on a truncated conjugate gradient method comprising:
transforming initial precoding into a refined beam domain through a refined sampling steering vector matrix, wherein the refined beam domain is a refined beam domain with a multiple 1 or a refined beam domain with an integer multiple or a fraction multiple greater than 1;
performing beam domain precoding update in the refined beam domain by using a posteriori statistical channel information, wherein the a posteriori statistical channel information in the refined beam domain is obtained based on a pilot signal and a priori statistical channel information in the refined beam domain; and
transforming a precoding result in the refined beam domain into an antenna domain through the refined sampling steering vector matrix.
10. A massive multiple-input multiple-output (MIMO) beam domain robust precoding transmission system, comprising a base station (BS) and a plurality of user equipments (UEs), wherein the BS is configured to:
receive a pilot signal transmitted by a mobile terminal or obtaining known channel information;
transform the received pilot signal or the obtained known channel information into a refined beam domain through a refined sampling steering vector matrix;
obtain a priori statistical channel information of the UEs in the refined beam domain by using sample statistics in the refined beam domain, wherein the refined beam domain is a refined beam domain with a multiple of 1 or a refined beam domain with an integer multiple or a fraction multiple greater than 1, and a refined beam domain channel and an antenna domain channel are converted into each other through a refined sampling steering vector matrix;
obtain a posteriori statistical channel information of the UEs in the refined beam domain based on a pilot signal and the a priori statistical channel information in the refined beam domain, wherein the a posteriori statistical channel information comprises channel mean and variance information in the refined beam domain; and
perform robust precoding transmission by using the a posteriori statistical channel information comprising the channel mean and variance information in the refined beam domain.
11. A massive multiple-input multiple-output (MIMO) beam domain robust precoding transmission system, comprising a base station (BS) and a plurality of user equipments (UEs), wherein the BS is equipped with the computing device according to claim 9 .