Iteration interference alignment method

Abstract

The invention belongs to the technical field of mobile communications, and particularly relates to an iteration interference alignment method among different networks. Optimization is carried out according to the method in order to eliminate interference in the networks to make all users capable of simultaneously carrying out non-interference communications. The method includes the two core steps that firstly, when G1 of a transmitting node is fixed, a receiving matrix Uk of receiving nodes k is selected so that the direction of an interference subspace of each receiving node k can be adjusted and the minimum quadratic sum of the Euclidean distance between interference from other transmitting nodes and the interference subspace of each receiving node k can be achieved; secondly, when the selected receiving matrix Uk of the receiving nodes is fixed, the interference subspace of each receiving node is determined, the total interference power F of a whole system is kept constant, and then the signal transmitting direction of the transmitting node 1 is adjusted by selecting the G1 of the transmitting node 1 so that the minimum quadratic sum of the Euclidean distance between each transmitting node 1 and the corresponding interference subspace of the receiving node can be achieved, and accordingly the total interference power F of a whole system is minimized.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and specifically relates to a method for aligning interference between different networks. The method is optimized with the goal of eliminating the increased interference in the network, so that all users can simultaneously perform interference-free communication. Background technique [0002] Interference Alignment (IA) is an effective method to improve channel capacity in multi-user interference networks. Different from processing methods such as ignoring interference, decoding to eliminate interference, and orthogonal access to eliminate interference, IA compresses interference in the interference subspace at the receiving end through precoding technology, thereby eliminating the impact of interference on the desired signal. Regardless of the number of interfering users in the interfering network, by using IA, all users can communicate without interference at the same time, and th...

AI Technical Summary

Problems solved by technology

The shortage of spectrum resources will inevitably lead to the use of the same spectrum by many wireless communication devices in the adjacent environment. Although the interference alignment technology effectively solves the interference problem of different users in the same interference network, the same frequency interference between different interference networks still a problem

[0005] In the case of the original MIMO multi-user network using IA to achieve multi-user normal non-interference communication, increasing the number of users in the network can make the normal communication of the users in the original network unaffected by adding transmitting antennas, but increasing the interaction between users in the network The interference between and from network users is the main factor affecting the increase of user communication in the network

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