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.