A companding approach for PAPR suppression in OFDM based massive MIMO system

被引：0
作者：
Yadav A.K. [1 ]
Sahoo P.K. [2 ]
Prajapati Y.K. [1 ]
机构：
[1] Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology, Allahabad
[2] Department of Electronics and Communication Engineering, Amity University Jharkhand, Ranchi
来源：
Journal of Optical Communications | 2023年 / 44卷 / s1期
关键词：
gradient descent μ-law companding; massive multi-user (MU); MIMO; OFDM; PAPR; precoding;
D O I：
10.1515/joc-2020-0255
中图分类号：
学科分类号：
摘要：
Orthogonal frequency division multiplexing (OFDM) based massive multiuser (MU) multiple input multiple output (MIMO) system is popularly known as high peak-to-average power ratio (PAPR) issue. The OFDM-based massive MIMO system exhibits large number of antennas at Base Station (BS) due to the use of large number of high-power amplifiers (HPA). High PAPR causes HPAs to work in a nonlinear region, and hardware cost of nonlinear HPAs are very high and also power inefficient. Hence, to tackle this problem, this manuscript suggests a novel scheme based on the joint MU precoding and PAPR minimization (PP) expressed as a convex optimization problem solved by steepest gradient descent (GD) with μ-law companding approach. Therefore, we develop a new scheme mentioned to as MU-PP-GDs with μ-law companding to minimize PAPR by compressing and enlarging of massive MIMO OFDM signals simultaneously. At CCDF = 10−3, the proposed scheme (MU-PP-GDs with μ-law companding for Iterations = 100) minimizes the PAPR to 3.70 dB which is better than that of MU-PP-GDs, (iteration = 100) as shown in simulation results. © 2023 Walter de Gruyter GmbH. All rights reserved.
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页码：S1551 / S1555
页数：4
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