System total interference leakage minimum pre-coding matrix group selection algorithm based on MIMO

Abstract

The invention brings forward a system total interference leakage minimum pre-coding matrix group selection algorithm based on an MIMO. All transformation matrixes in a system are traversed firstly. Characteristic value decomposition is performed on the transformation matrixes, and half of characteristic vectors are selected to act as a pre-coding matrix of one transmitter according to a maximum freedom principle. The pre-coding matrixes of other transmitters are obtained. Total interference leakage of the system is calculated. The corresponding transformation matrix of a pre-coding group which makes total leakage of the system to be the minimum is selected to be the optimal transformation matrix needed to be selected. Characteristic value decomposition is performed on the selected optimal transformation matrix, all the pre-coding matrixes of the transmitters are obtained according to a collaboration interference alignment algorithm and finally an interference inhibition matrix of a receiving terminal is obtained. The speed rate performance of the selection algorithm is better than that of a classic interference alignment algorithm and that of the collaboration interference alignment algorithm so that the selection method is higher in adaptation under statistics channel state information.

Description

【Technical field】 [0001] The invention relates to the field of wireless communication, in particular to a selection algorithm of a precoding matrix group with the smallest total interference leakage based on a MIMO system. 【Background technique】 [0002] In the next-generation wireless communication system, inter-cell interference is regarded as one of the key factors restricting the improvement of system performance. Since the system adopts the same-frequency networking method, the users at the edge of the cell suffer from the same-frequency interference transmitted by the base station of the non-serving cell, which seriously restricts the service quality and throughput of the edge users, and reduces the multiple-input multiple-output (MIMO ) technology brings high spectrum utilization. Therefore, the interference suppression technology in the multi-cell MIMO system has become a research hotspot in the field of modern wireless communication. [0003] Existing interference...

AI Technical Summary

Problems solved by technology

All of the above schemes can significantly improve the performance of the system, but these schemes usually require the base station to know the full channel state information (Full-CSI), and assume that the base stations exchange information through an ideal backhaul link

However, it is difficult to obtain complete channel state information in the actual system, and for the backhaul link with limited capacity, a large amount of information exchange between base stations will undoubtedly increase its load

Images