论文标题
在多途Miso通道的下行链路中,联合星座旋转和符号级的预编码优化
Joint Constellation Rotation and Symbol-level Precoding Optimization in the Downlink of Multiuser MISO Channels
论文作者
论文摘要
本文解决了无线Multiantenna系统下行中多个用户之间同时干扰的问题。为了利用多源干扰并将其转换为接收器侧的有用功率,通过从每个用户和通道状态信息的联合利用数据来利用符号级的预码。本文介绍了一种复杂性降低方案,该方案利用了星座对称性,以减少符号级优化问题中可能的计算数量和约束数量。本文还提出了一种新的传输技术,该技术可以共同优化每个用户的数据流的传输符号级预码和星座旋转。目的是增加具有建设性干扰,从而提高性能的可能性。我们专注于通过降低所需的功率来提高能源效率,以通过解决符号级的预编码问题来满足某些服务质量的约束,并找到应旋转每个用户星座的最佳阶段。因此,这个问题是非凸,因此,我们提出了一种有效的分支和结合算法,并结合了半金融宽松,以解决问题并找到有效的解决方案。数值结果以比较的方式呈现,以显示提出的技术的有效性,该技术在能源效率和功耗方面优于最先进的符号级别的精确编码方案。
This paper tackles the problem of the simultaneous interference among the multiple users in the downlink of a wireless multiantenna system. In order to exploit the multiuser interference and transform it into useful power at the receiver side, symbol-level precoding is utilized through joint exploitation of the data from each individual user and the channel state information. This paper introduces a complexity reduction scheme that exploits the constellations symmetry to reduce the number of possible calculations and the number of constraints in the symbol-level optimization problem. This paper also proposes a new transmission technique that jointly optimizes the transmit symbol-level precoding and the constellation rotation of the data stream for each user. The purpose is to increase the probability of having constructive interference, and thus better performance. We focus on improving the energy efficiency by reducing the required power to satisfy certain quality of service constraints through solving a symbol-level precoding problem and finding the optimal phase by which each user constellation should be rotated. This problem is non-convex, therefore, we propose an efficient branch-and-bound algorithm combined with semidefinite relaxation to solve the problem and find an efficient solution. Numerical results are presented in a comparative fashion to show the effectiveness of the proposed technique, which outperforms the state-of-the-art symbol-level precoding schemes in terms of energy efficiency, and power consumption.