PAPR Reduction in Massive MU-MIMO-OFDM Systems Using the Proximal Gradient Method  

作　　者：Davinder Singh R.K.Sarin 

机构地区：[1]Department of Electronics and Communication Engineering,Dr.B.R.Ambedkar National Institute of Technology,Jalandhar,Punjab,India-144011

出　　处：《Journal of Communications and Information Networks》2019年第1期88-94,共7页通信与信息网络学报（英文）

摘　　要：In this paper,we address the issue of peak-to-average power ratio(PAPR)reduction in large-scale multiuser multiple-input multiple-output(MU-MIMO)orthogonal frequency-division multiplexing(OFDM)systems.PAPR reduction and the multiuser interference(MUI)cancellation problem are jointly formulated as an l_(∞)-norm based composite convex optimization problem,which can be solved efficiently using the iterative proximal gradient method.The proximal operator associated with l_(∞)-norm is evaluated using a low-cost sorting algorithm.The proposed method adaptively chooses the step size to accelerate convergence.Simulation results reveal that the proximal gradient method converges swiftly while provid-ing considerable PAPR reduction and lower out-of-band radiation.

关 键 词：OFDM MU-MIMO PAPR reduction proximal operator proximal gradient method 

分 类 号：TN9[电子电信—信息与通信工程]