This paper investigates the fundamental data detection problem with burst interference in massive multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM) systems. In particular, burst inte...This paper investigates the fundamental data detection problem with burst interference in massive multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM) systems. In particular, burst interference may occur only on data symbols but not on pilot symbols, which means that interference information cannot be premeasured. To cancel the burst interference, we first revisit the uplink multi-user system and develop a matrixform system model, where the covariance pattern and the low-rank property of the interference matrix is discussed. Then, we propose a turbo message passing based burst interference cancellation(TMP-BIC) algorithm to solve the data detection problem, where the constellation information of target data is fully exploited to refine its estimate. Furthermore, in the TMP-BIC algorithm, we design one module to cope with the interference matrix by exploiting its lowrank property. Numerical results demonstrate that the proposed algorithm can effectively mitigate the adverse effects of burst interference and approach the interference-free bound.展开更多
为了提高大规模多用户-多输入多输出-正交频分复用系统运行效率以及降低系统硬件花费,将凸优化方法引入MU-MIMO-OFDM系统的下行链路中,从而降低发射信号的峰值平均功率比.首先,将多用户预编码、OFDM调制、降低发射信号PAPR及发射信号功...为了提高大规模多用户-多输入多输出-正交频分复用系统运行效率以及降低系统硬件花费,将凸优化方法引入MU-MIMO-OFDM系统的下行链路中,从而降低发射信号的峰值平均功率比.首先,将多用户预编码、OFDM调制、降低发射信号PAPR及发射信号功率约束建立成数学模型.然后,设计线性交替方向乘子法(linear alternating direction multiplier method,LADMM)求解凸优化问题.仿真结果表明,该方法只需较少的计算复杂度就可在大规模MU-MIMO-OFDM系统中获得很好的降低发射信号峰均比效果,同时具有较低的符号错误率.展开更多
基金supported by the National Key Laboratory of Wireless Communications Foundation,China (IFN20230204)。
文摘This paper investigates the fundamental data detection problem with burst interference in massive multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM) systems. In particular, burst interference may occur only on data symbols but not on pilot symbols, which means that interference information cannot be premeasured. To cancel the burst interference, we first revisit the uplink multi-user system and develop a matrixform system model, where the covariance pattern and the low-rank property of the interference matrix is discussed. Then, we propose a turbo message passing based burst interference cancellation(TMP-BIC) algorithm to solve the data detection problem, where the constellation information of target data is fully exploited to refine its estimate. Furthermore, in the TMP-BIC algorithm, we design one module to cope with the interference matrix by exploiting its lowrank property. Numerical results demonstrate that the proposed algorithm can effectively mitigate the adverse effects of burst interference and approach the interference-free bound.
文摘为了提高大规模多用户-多输入多输出-正交频分复用系统运行效率以及降低系统硬件花费,将凸优化方法引入MU-MIMO-OFDM系统的下行链路中,从而降低发射信号的峰值平均功率比.首先,将多用户预编码、OFDM调制、降低发射信号PAPR及发射信号功率约束建立成数学模型.然后,设计线性交替方向乘子法(linear alternating direction multiplier method,LADMM)求解凸优化问题.仿真结果表明,该方法只需较少的计算复杂度就可在大规模MU-MIMO-OFDM系统中获得很好的降低发射信号峰均比效果,同时具有较低的符号错误率.
