论文标题
混合主动辅助可重新配置智能表面辅助多用户味o系统
Hybrid Active-Passive Reconfigurable Intelligent Surface-Assisted Multi-User MISO Systems
论文作者
论文摘要
我们考虑了多用户多输入单输出（MISO）通信系统，该系统由混合活动可重构智能表面（RIS）辅助。与传统的被动riss不同，Hybrid RIS配备了一些活跃的元素，具有反射和放大入射信号以显着提高系统性能的能力。朝着公平性的设计，我们通过共同优化发射光束成形向量和RIS反射/扩增系数来最大化所有用户的最低利率。通过低复杂性迭代算法有效地解决了挑战性的非凸问题，结合了块坐标上升和连续凸的近似值的工具。数值结果表明，在总计50个元素中具有4个活性元素的混合动力RI，功率预算为-1 dbm，可为所考虑的系统提高80％，而完全被动的RIS仅占27％。
We consider a multi-user multiple-input single-output (MISO) communications system which is assisted by a hybrid active-passive reconfigurable intelligent surface (RIS). Unlike conventional passive RISs, hybrid RIS is equipped with a few active elements with the ability to reflect and amplify incident signals to significantly improve the system performance. Towards a fairness-oriented design, we maximize the minimum rate among all users through jointly optimizing the transmit beamforming vectors and RIS reflecting/amplifying coefficients. Combining tools from block coordinate ascent and successive convex approximation, the challenging nonconvex problem is efficiently solved by a low-complexity iterative algorithm. The numerical results show that a hybrid RIS with 4 active elements out of a total of 50 elements with a power budget of -1 dBm offers an improvement of up to 80% to the considered system, while that achieved by a fully passive RIS is only 27%.
