Multiple-Input Multiple-Output (MIMO) system has been widely concerned and investigated because of its efficient transmission rate and spectral efficiency.The actual channel gain characteristics of each user is not taken into account in the alternating minimization of Interference Alignment (IA) algorithm in MIMO system,which may cause the effective channel gain imbalance of the user side signal stream to reduce the communication performance.To improve the transmission rate and reduce bit error rate in MIMO interference channel,the singular value decomposition algorithm is employed to obtain the user's effective channel gain coefficient according to the channel matrix and thus effective dynamic power allocation is achieved,combined with the alternating minimization algorithm to reduce interference.The alternative minimizing interference alignment algorithm combined dynamic power allocation has been put forward.Simulation shows that the proposed method outperforms the alternating minimization IA algorithm in terms of improving the channel capacity and reducing the bit error in MIMO interference system.%多输入多输出(Multiple-Input Multiple-Output,MIMO)系统因具有高效的传输速率与频谱效率得到了广泛的关注与研究.MIMO干扰系统中的交替最小化干扰对齐算法未考虑各用户实际的本地信道增益特性,使得用户端信号流的有效信道增益失衡造成系统通信性能降低.对此,针对MIMO干扰系统传输速率低、误码率高的问题,对信道矩阵利用奇异值分解算法获得各用户的有效信道增益系数,并据此实现有效的动态功率分配,在此基础上联合干扰对齐交替最小化算法,利用干扰对齐减小其他发送端对接收端用户的干扰,提出了联合动态功率分配的交替最小化干扰对齐算法.仿真结果表明,和传统等功率分配的交替最小化方案相比,所提算法通过联合干扰对齐和功率分配,显著增加了MIMO干扰系统的信道容量,降低了误码率.
展开▼
