多小区广播干扰信道的加权均方误差最小化收发机设计算法

未来的第五代无线网络中，由于干扰问题的存在，阻碍了网络性能的提升，尤其是对于小区边缘的用户，其通信质量的需求不能得到满足。本文研究了基于加权均方误差优化的多小区多用户广播干扰信道的收发机算法设计。针对所需求解的优化问题，首先利用分层预编码的方法提出了一种广义干扰对齐的方案，然后提出了一种最小化加权均方误差的交替优化算法。所提算法的收敛性可以由单调有界理论保证。仿真结果表明:与传统的方案相比，所提方案可以有效的消除干扰，并且有效的提升系统的和速率性能。 

A Transceiver Design Algorithm of Weighted Mean Square Error Minimization for the Multicell Broadcast Interfering Channel

The network’s performances are affected by interference in the future 5th generation communication network. Especially for the cell edge users whose requirements of communication qualities are not matched. In this paper, we investigate the design of the multicell multiuser transceiver design algorithm for the optimization of the weighted mean square error. A new general interference alignment scheme for multicell interfering broadcast channel is proposed by using hierarchy precoder method in the view of solving the optimization problem, and an alternative optimization solver is developed weighted mean square error minimization optimization problem. The convergence of the proposed algorithm is guaranteed with the monotonic boundary theory. At the same time, the numerical simulations show that the proposed schemes can greatly reduce the interference, and improve the sum rate effectively compared to the conditional schems.