Combined interference phase alignment method based on Bayes estimation and inter-data flow power allocation

Abstract

The present invention claims a combined interference phase alignment solution based on Bayes estimation and inter-data flow power allocation. Firstly, optimal estimation of a current CSI is obtained by means of Bayes estimation, such that a sending end can obtain better CSI. Secondly, during forward communication, an interference suppression matrix is designed by maximizing a ratio of desired signal power to an inter-cell interference and noise power sum; during reverse communication, a pre-coding matrix is designed by maximizing an overall signal interference ratio of a receiving end; and the forward communication and the reverse communication are iteratively computed till convergence to obtain optimal pre-coding and interference suppression matrices. Then, a water injection power allocation solution applied to interference alignment is combined. Finally, inter-data flow interference is rotated into a signal space of a target receiving data flow by aligning phases of a sending signal flow and a receiving signal flow. Simulation shows that compared with other robust algorithms, the solution has a certain performance advantage in either ideal CSI or delay error CSI.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to interference management in cellular wireless communication. Background technique [0002] Currently, most interference alignment (Interference Alignment, IA) is based on ideal channel state information (Channel State Information, CSI). However, in the actual wireless communication system, the CSI obtained by the sending end often has time delay and error, and the receiving end cannot completely suppress the interference it receives, which makes the performance of the algorithm degrade. In recent years, scholars have carried out research on the IA technology under the conditions of delay CSI and error CSI, but less research has been done on the condition of CSI with delay and error (delay error CSI). [0003] For delay CSI, under the classic Jakes delay channel model, literature [Zhao N, Yu F R, Sun Hongjian, et al.. Interference alignment based on channel prediction with de...

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Problems solved by technology

In addition, the literature [RAZAVI S M and RATNARAJAH T.Adaptively regularized phase alignment precoding for multiuser multiantenna downlink[J].IEEETransactions on Vehicular Technology,2015,64(10):4863-4869.] adopts the scheme of aligning the signal phase of the sending end and the receiving end , when the error CSI is given, the robust joint interference phase alignment algorithm under single-cell MIMO-MAC, but does not consider the impact of the useful signal

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