Transceiver Design And Performance Analysis In MIMO Interference Network

With the rapid development of information technology,people's demand for communication system capacity is gradually increasing,thus promoting the rapid development of communication technology research.As an important part of communication technology,wireless communication has long been one of the hotspots in communication technology research.On the one hand,wireless communication technology has the advantages of flexible networking,high mobility and large communication capacity.On the other hand,as wireless communication system transmits wireless signal through free space,the communication system operates in a serious interference environment.The increasing demand for communication system capacity leading to the wireless spectrum resource constraints and the growing tense interference.The development of multiple-input multiple-output(MIMO)technology has brought new opportunities to the research of wireless communication technology,which is an important research direction of future wireless communication technology.MIMO technology can bring higher system multiplexing gain and diversity gain,which has obvious advantages in improving the spectral efficiency of the system,effectively suppressing interference and improving the capacity of the system.The problem of transceiver design is one of the hot issues in MIMO technology research.In MIMO wireless communication system,many technical problems which relate to improving system performance can be attributed to transceiver design problems.In this paper,we choose MIMO interference channel network as the research scene,and the optimization design of MIMO transceiver as the core issue.With the help of convex optimization mathematical tools,we select the interference leakage as the objective function of optimization.In the choice of optimization constraints,mainly from the following three aspects:full rank constraints of the useful signal,low rank constraints of the interference signal and the low power constraints of the interference signal.The focus of the optimization algorithm design is:the influence of the inter-stream interference(ISI)on the performance of the system,as well as the different effects of the two different objective function design methods:interference leakage minimization and minimize the maximum of the interference leakage.On this basis,rank constraint interference leakage minimization algorithm is designed as a benchmark for comparing performance with other algorithms.In order to obtain better system average sum rate performance,the inter-user interference(IUI)and intra-user inter-stream interference(ISI)are considered,rank constraint interference leakage minimization considering inter-stream interference algorithm is designed.At the same time,in order to improve the fairness and stability of the system,minimize the maximum of the interference leakage is selected as the objective function of the optimization problem,so we design rank constraint MIN-MAX interference leakage algorithm and rank constraint MIN-MAX interference leakage considering inter-stream interference algorithm.The above transceiver optimization algorithms are simulated by using MATLAB programming language and CVX optimization toolkit,and the system effectiveness,fairness and stability of MIMO interference channel network are compared.Through the simulation analysis,we find that different design ideas of the transceiver will have different effects on the performance of the system.Taking the inter-stream interference into consideration can effectively improve the system average sum rate performance of the MIMO interference channel network,that is,the effectiveness of the system.The use of MIN-MAX interference leakage method can improve the fairness and stability of the system.In addition,there exists a trade-off between the effectiveness,fairness and stability of the system in terms of the overall performance of the system design.In the process of system design,to obtain a significant increase of effectiveness is bound to cause the decline of system fairness and stability;on the other hand,to ensure the fairness and stability of the system,also brings a certain degree of loss of effectiveness to the system.This paper also looks forward to the future research direction and research content.