Low-complexity interference alignment method of multiple input multiple output (MIMO)interference channel system

A low-complexity technology for interfering with channels, applied in the field of communication

Inactive Publication Date: 2013-04-03
ZHENGZHOU UNIV
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is how to reduce the computational complexity of the system while maintaining the system throughput in the MIMO interference channel system

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  • Low-complexity interference alignment method of multiple input multiple output (MIMO)interference channel system
  • Low-complexity interference alignment method of multiple input multiple output (MIMO)interference channel system
  • Low-complexity interference alignment method of multiple input multiple output (MIMO)interference channel system

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Embodiment Construction

[0048] In order to make the purpose, content and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0049] The low-complexity interference alignment method of the MIMO interference channel system proposed by the present invention is described as follows in conjunction with the accompanying drawings and embodiments:

[0050] Such as figure 1 Shown, the present invention comprises the following steps:

[0051] S1: Through channel estimation, obtain the channel matrix from the base station in the local cell to the users in the cell, and the interference channel matrix from other cells to the users in the cell, and randomly initialize the precoding matrix of the base station;

[0052] Suppose the system includes K base stations and K u users, the number of transmitting antennas of the kth base station is M k , the number of data streams transmitted by th...

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Abstract

The invention discloses a low-complexity interference alignment method of a multiple input multiple output (MIMO)interference channel system. The low-complexity interference alignment method includes: firstly, obtaining an interference channel matrix from other community base stations to local community users, and randomly initializing a pre-code matrix of base stations; secondly, obtaining an interference covariance matrix of users according to the pre-code matrix and the interference channel matrix, and then obtaining an orthogonal basis of an interference receiving subspace; thirdly, updating the pre-code matrix according to the orthogonal basis of the interference receiving subspace, and when an updated pre-code matrix dissatisfies conditions of convergence, recalculating the orthogonal basis of the interference receiving subspace, and if not, obtaining a final orthogonal basis of the interference receiving subspace according to the updated pre-code matrix which satisfies the conditions of the convergence; fourthly, obtaining a post-processing matrix according to the final orthogonal basis of the interference receiving subspace; and finally, performing zero forcing processing on a signal according to the post-processing matrix to obtain a signal with interference eliminated. The low-complexity interference alignment method of the MIMO interference channel system is simple in process and high in accuracy rate, and can reduce computation complexity on the premise of keeping system data throughout capacity.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a low-complexity interference alignment method for a MIMO interference channel system. Background technique [0002] The pursuit of higher transmission rate and higher spectral efficiency is a long-standing topic in the field of wireless communication. Multiple-antenna technology (Multiple Input Multiple Output, MIMO) introduces additional spatial freedom for wireless communication by configuring multiple antennas at the transmitting end and receiving end, thereby greatly improving the spectrum utilization and throughput of the system. In wireless networks, in addition to noise and fading factors, the impact of interference on communication is increasingly prominent. Now, the basic framework of 4G has been established. Because its basic multiple access method is based on OFDMA (Orthogonal Frequency Division Multiple Access) frequency division multiple access, multi-users...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/04H04L1/06H04L25/03
Inventor 王忠勇朱政宇高向川王玮肖岩张传宗
Owner ZHENGZHOU UNIV
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