Research Of Interference Alignment Based On Channel Correlation

Interference is a key factor to impact the performance of communication systems, especially in the Cellular network whose frequency reuse factor is equal to1:In this scenario, there will be inevitably produce the interference between the adjacent cells. As a new interference management strategy, Interference alignment had shown that the interference does not fundamentally limite the capacity of wireless communication system, and had attracted significant research attention recently.This paper mainly study interference alignment algorithm under the non-ideal channel state information, including the impact of channel correlation and delay to existing interference alignment technologies. This paper also developes a robust interference alignment scheme to delay by use of the channel statistics information. The work of this paper has a great guiding significance to the application of interference alignment in actual mobile communication system.To better study the performance of interference alignment in actual communication system, this paper firstly introduces and analyzes the MIMO wireless space-time channel:the physical model, analytical model and standardized model.Secondly, the classic interference alignment scheme in the K-user MIMO interference channel are descripted, including closed-form interference alignment, distributed interference alignment by mean of iterative calculations and so on. Then, correlation based channel model is used to assess the effect of correlation and delay channels to these interference alignment algorithms. The results show that the performance of these classic interference alignment algorithms will experience a rapid degradation with the increase of channel correlation factor and delay interval.Based on these reaearch, this paper designs an interference alignment scheme by mean of the channel full correlation matrix. In addition, in order to reduce the number of required channel information for the proposed algorithm, the paper demonstrates the use of well-known Kronnecker model and Weichselberger model to parameterize the full correlation matrix.Finally, the simulation results confirm the proposed interference alignment scheme and show that the proposed schmem can not only effectively deal with the effect of the delay channel state information to the existing classic interference alignment algorithms, but also significantly reducing the number of channel information need to be feedback.