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降低多用户大规模MIMO-OFDM系统PAPR的加速近端梯度算法
华磊,王亚军,刘爽
0
(江苏科技大学 海洋学院,江苏 镇江 212100)
摘要:
针对多用户大规模多输入多输出(Multiple-Input Multiple-Output,MIMO)正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)系统存在较高峰值平均功率比(Peak-to-Average Power Ratio,PAPR)问题,在系统的下行链路中利用基站大量天线提供的冗余自由度,将OFDM调制、消除多用户之间干扰及降低PAPR联合成凸优化问题,并设计加速近端梯度算法(Accelerated Proximal Gradient Method,APGM)求解上述优化问题。仿真结果表明,所提方法显著降低了发射信号的峰均比,同时获得了较好的系统误符号率。与其他相关方法对比,APGM具有更低的计算复杂度和更快的收敛速度。
关键词:  多输入多输出  正交频分复用  峰值平均功率比抑制  加速近端梯度算法(APGM)
DOI:
基金项目:国家自然科学基金资助项目(No.62001194)
Accelerated proximal gradient method for reducing PAPR of multi-user massive MIMO-OFDM systems
HUA Lei,WANG Yajun,LIU Shuang
(Ocean College,Jiangsu University of Science and Technology,Zhenjiang 212100,China)
Abstract:
To solve the high peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing-based multi-user massive multiple-input multiple-output (MIMO-OFDM) downlink systems,by using the redundant degree of freedom provided by many antennas equipped at a base station,OFDM modulation,multi-user interference elimination and PAPR reduction are combined into a joint convex optimization problem.An Accelerated Proximal Gradient Method (APGM) is designed to address the convex optimization.Simulation results show that the proposed method can significantly reduce the PAPR of the transmitted signal,and obtain a better system symbol error rate.Compared with other methods,APGM has lower complexity and faster convergence.
Key words:  MIMO  OFDM  PAPR suppression  accelerated proximal gradient method(APGM)