The Research Of Multi-antenna Interference Management Techniques In LTE

As the development of the cellular mobile communication technology to progress,the consumption of spectrum resources is also more and more. Therefore, improvingthe efficiency of spectrum utilization becomes an important issue in mobilecommunications. The3GPP organization proposed that the adjacent cells can use thesame frequency to form a cellular network in the LTE system. Undoubtedly, thismethod will improve the efficiency of the spectrum utilization, but also causes aninevitable problem that different base stations of the adjacent cells bring theinterference to a user at the same time. Therefore, it is meaningful for a user to receivethe signal from service base station using multiple antennas and suppress theinterference from non-serving base station at the same time. To solve this problem, weresearch the interference management techniques for multi-antenna receiver in thispaper. The research is basically as follows:The first part is the related background of the subject is: Firstly We retrospect thedevelopment of the interference management techniques in order to illustrate thesignificance of our work as well as major work in this paper. Then the LTE downlink,including the frame structure are introduced. They are used in later simulations in thispaper.The second part is the introduction of reception combining algorithm: Firstly, wecompare several traditional reception combining algorithm and their performance.Secondly, the interference rejection combing (IRC) algorithm is detailed. We comparethe performance of IRC algorithm and maximum rate combining (MRC) algorithm.The two algorithms are applicable to different scenarios. Finally, two different criteriainterference suppression the merge algorithm performance comparison, two criteriahave different weight vector matrix form of expression, but the detection performanceof the two criteria is basically the same.The third part is interference rejection combing algorithm analysis: Firstly, inparticular model, we introduce the performance loss caused by channel estimation error,and get the conclusion that the loss increases with the number of antennas are increasing under the circumstance that there is channel estimation error. Secondly, twodifferent estimates of covariance matrix are introduced, one of them is based on thereceived signal and another is based on the interference and recovery of noise. The twoestimates are simulated and verified, and we point out their applicable scenes.The last part is the application of IRC algorithm in Comp transmission system:Firstly, we introduce the conception of comp transmission system and differenttransmission mode; Secondly, Comp transmission mode and incomplete Comptransmission mode based on SLNR based pre-coding are given; finally, IRC algorithmis applied to these two modes, and we compare their performance and point out theapplicable transmission.