An Iterative Disturbance Alignment Method

Abstract

The invention belongs to the technical field of mobile communication, and in particular relates to a method for aligning interference between different networks. The invention aims at eliminating and increasing interference in the network for optimization, so that all users can simultaneously perform interference-free communication. The core process of the present invention is divided into two steps. In the first step, when the G1 of the transmitting node is fixed, the purpose of selecting the receiving matrix Uk of the receiving node k is to adjust the direction of the interference subspace of the receiving node k, so that the interference from other transmitting nodes The sum of squares of the Euclidean distances of the interference subspace to the receiving node k is the smallest. In the second step, when the receiving matrix Uk of the receiving node is fixed, the interference subspace of each receiving node is determined, the total interference power F of the whole system remains unchanged, and then the transmitting node l is adjusted by selecting Gl of the transmitting node l to transmit The direction of the signal is such that the sum of the squares of the Euclidean distances from the transmitting node l to each receiving node's interference subspace is minimized, so that the total interference power F of the entire 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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