scholarly journals PEAK-TO-AVERAGE POWER RATIO REDUCTION USING ACTIVE CONSTELLATION EXTENSION-PROJECTION ONTO CONVEX SETS COMBINED WITH PARTICLE SWARM OPTIMIZATION ADDED TO SPACE TIME BLOC CODING IN MULTIPLE INPUT MULTIPLE OUTPUT-ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING SYSTEM

2012 ◽  
Vol 8 (12) ◽  
pp. 2017-2024
Author(s):  
Ouqour
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Convex Sets ◽  
Multiple Input Multiple Output ◽  
Average Power ◽  
Frequency Division ◽  
Projection Onto Convex Sets ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Power Ratio Reduction ◽  
Ratio Reduction

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

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ajay Kumar Yadav ◽  
Pritam Keshari Sahoo ◽  
Yogendra Kumar Prajapati
Keyword(s):  
Massive Mimo ◽  
Orthogonal Frequency Division Multiplexing ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Average Power ◽  
Base Station ◽  
Convex Optimization Problem ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Ofdm

Abstract 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.

Sign in / Sign up

Export Citation Format

Share Document