Simultaneous Wireless Information and Power Transfer (SWIPT) systems are viable models to implement wireless charging in Broadcast Channel (BC) systems. With the emergence of Internet of Things (IOT) and the 5th generation of telecommunication systems (5G), to make lifelong powered devices, wireless charging gets wider attention in scientific and industrial community. To optimally design such a system, we optimize a multi-user multi-antenna BC by simultaneously maximizing the sum of harvested energy and minimizing the sum Mean Square Error (MSE) for symbol detection at each receiver node. To have a tractable design problem, we recast this multi-objective problem as a Difference of Convex (DC) bilinear problem. The derived design problem is solved using the Alternating Convex Search (ACS) method and the Penalty Convex-Concave Program (PCCP) procedure. We solve this problem under two conditions: the perfect and the imperfect Channel State Information (CSI). Simulation results prove that the proposed algorithm outperforms reported recent research studies in this field.

同时无线信息和功率传输（SWIPT）系统是在广播信道（BC）系统中实现无线充电的可行模型。随着物联网（IOT）和第五代电信系统（5G）的出现，为了制造终身供电的设备，无线充电在科学和工业界得到了越来越广泛的关注。为了优化设计这样的系统，我们通过同时最大化采集的能量之和并同时最小化每个接收器节点处的符号检测的均方误差（MSE）来优化多用户多天线BC。为了解决一个棘手的设计问题，我们将此多目标问题重铸为凸差（DC）双线性问题。使用交替凸搜索（ACS）方法和罚凸凹程序（PCCP）程序可以解决派生的设计问题。我们在两个条件下解决此问题：完美和不完美的信道状态信息（CSI）。仿真结果表明，该算法优于该领域的最新研究成果。