基于凸优化的MIMO-FBMC系统峰均比抑制方法

目前,多载波滤波器组(filter bank multi-carrier, FBMC)因其良好的性能,成为5G通信中重要的调制方式。为了提高移动通信的质量和速率,采取了将多输入多输出(multiple input multiple output, MIMO)技术和FBMC技术相结合。首先,建立多串流传输模型和共轭数据结构,分析数据流、天线数和预编码矩阵之间的关系。然后,研究系统的峰均功率比(peak-to-average power ratio, PAPR),用凸优化模型对PAPR降低问题进行简化。最后,用快速迭代收缩门槛算法(fast iterative truncation algorithm, FITRA)求解凸优化问题。仿真结果表明,该方法在频率选择性衰落信道中有着优异的PAPR性能,误码率性能良好。

PAPR suppression method based on convex optimization in MIMO-FBMC system

Filter bank multi-carrier (FBMC) is a promising modulation method of the 5G communication because of its perfect properties currently. The multiple input multiple output (MIMO) technology and FBMC is combined, which aims to improve the quality and capacity of the mobile communication. The multi-stream transmission model and conjugated data structure are established at first. The relationship among data streams, antennas numbers, and precoding matrixes is also analyzed. Then the peak-to-average power ratio (PAPR) of the system is investigated and the PAPR reduction problem is simplified with a convex optimization model. By employing the fast iterative truncation algorithm (FITRA), the convex optimization problem is solved. Simulation results demonstrate the excellent PAPR performance over the frequency selective fading channels and the appropriate BER performance.