Affine projection decoding method for uplink multi-user multi-input multi-output (MIMO) system based on user selection

Abstract

The invention discloses an affine projection decoding method for an uplink multi-user multi-input multi-output (MIMO) system based on user selection. The method includes a first step of fixing an integer k, wherein the 1 <=k<= K, a second step of dividing a channel matrix into two parts, i.e., H=[H1 H2], wherein the H1 has arbitrary k rows of H and H2 has remaining K-k rows, and thereby CK<k> different selection methods are provided, a third step of defining H11 to be from 0 to (M-K+k)th row and H12 to be remaining K-k rows, calculating H11<H>H11 which is a k*k dimension matrix, providing matrixes according to the different selection methods and extracting elements on diagonal lines of each matrix to select the minimum values, a fourth step of selecting maximal values to be used as optimal combinations from the selected minimum values, a fifth step of selecting any optimal combination of the optimal combinations in the fourth step, dividing channel matrixes into two parts, i.e., H=[H1 H2], wherein the H1 has k rows corresponding to the optical combination in the H and H2 is remaining K-k rows, and then conducting polar decomposition on the H1 and H2: H1=PC1, H2=QC2, a sixth step of signal Y received by a base station multiplying by a matrix (Ik-PHQQHP)-1PH(IM-QQH) to change into a mean value Y, a seventh step of obtaining information of k rows of users selected by the optimal combinations, and a eighth step of working out information of remaining users through methods of from the first step to the seventh step.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to an affine projection decoding method based on user selection applied in an uplink multi-user multiple-input multiple-output (MIMO) system. Background technique [0002] In order to meet the requirements of high-speed transmission for various applications, a high-speed wireless communication system is required, such as a multiple-input multiple-output (MIMO) system. In fact, new IEEE standards such as LTE and Advanced LTE all use the MIMO system. For a system, two important factors need to be considered: one is the decoding complexity, and the other is the space gain. For a system, the decoding complexity is of course as low as possible. Therefore, linear decoding methods such as ZF or MMSE have been valued by the industry. This is a classic decoding method. Therefore, there have been many research results in this area, and people are very interested in some ...

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However, this comes at the cost of high decoding complexity

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