Interference Alignment Technology Based On Space Division For Interference Management In Multiuser MIMO Networks

Interference alignment(IA)is efficiently used as a solution to eliminate interference effects in wireless communication.Interference alignment can eliminate the inter-user interference by exploiting spatial alignment scheme.The application of interference alignment can achieve maximum degrees of freedom and improve the capacity in the multi-user and multi-antenna interference channel.For the cell densification system,clustered interference alignment satisfies the feasibility constraint to complete interference management and improve the propagation rate in wireless communication systems.This thesis firstly compares the iterative algorithms about interference alignment techniques by analyzing max-SINR interference alignment and minimum leakage interference scheme.Then,based on graph theory,two new graph clustering algorithms are proposed and combined space division multiplexing technology with interference alignment technology to design precoder and equalizer.Finally,the transmit power constraint of the clustered interference alignment is also considered,and the optimum transmit power scheme is proposed to maximize the system throughput.Firstly,by utilizing the reciprocity of the channels in time-division duplexing system,the iteration interference alignment schemes aim to maximize SINR or minimize leakage interference for designing the transceiver.The system throughput performance is simulated by comparing with the both algorithms.Simulation results show that the max-SINR algorithm is better than minimum leakage interference algorithm in interference alignment.However,the time complexity of the maxSINR algorithm is relatively higher.And the convergence version of the max-SINR algorithm is tradeoff between the two iteration algorithms.Moreover,based on spanning tree clustering,two reasonable low-complexity clustering algorithms are proposed,with the interference alignment technology and space division multiplexing technology being combined to design precoding and equalizer for simulation verification.The system throughput performance analysis is simulated for the proposed algorithms.At last,for the maximum system throughput under transmit power constraint of the clustered interference alignment,the original optimum problem is equivalent to geometry programming.Then,the optimum problem becomes convex problem by logarithmic operation so that the optimal power allocation is obtained for the clustered interference alignment.Simulation results show the priority of the system throughput performance of the proposed power allocation for the clustered interference alignment.