PERFORMANCE EVOLUTION OF MASSIVE MIMO-OFDM FOR VLC COMMUNICATIONS

2020 ◽  
Vol 9 (1) ◽  
pp. 18
Author(s):  
B. SRIDHAR ◽  
S. SRIDHAR ◽  
V. NANCHARIAH ◽  
◽  
◽  
...  
Keyword(s):  
Massive Mimo ◽  
Mimo Ofdm

scholarly journals Channel Estimation and Robust Detection for IQ Imbalanced Uplink Massive MIMO-OFDM with Adjustable Phase Shift Pilots

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Yan Chen ◽  
Li You ◽  
An-An Lu ◽  
Xiqi Gao ◽  
Xiang-Gen Xia
Keyword(s):  
Phase Shift ◽  
Channel Estimation ◽  
Massive Mimo ◽  
Robust Detection ◽  
Mimo Ofdm

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.

scholarly journals Distributed Channel Estimation and Pilot Contamination Analysis for Massive MIMO-OFDM Systems

2016 ◽  
Vol 64 (11) ◽  
pp. 4607-4621 ◽  
Author(s):  
Alam Zaib ◽  
Mudassir Masood ◽  
Anum Ali ◽  
Weiyu Xu ◽  
Tareq Y. Al-Naffouri
Keyword(s):  
Channel Estimation ◽  
Massive Mimo ◽  
Pilot Contamination ◽  
Ofdm Systems ◽  
Mimo Ofdm

scholarly journals Channel Compensation for Reciprocal TDD Massive MIMO-OFDM With IQ Imbalance

2017 ◽  
Vol 6 (6) ◽  
pp. 778-781 ◽  
Author(s):  
Yan Liang ◽  
Hongbin Li ◽  
Fei Li ◽  
Rongfang Song ◽  
Lihua Yang
Keyword(s):  
Massive Mimo ◽  
Iq Imbalance ◽  
Mimo Ofdm

Low-Complexity and High-Accuracy Semi-blind Joint Channel and Symbol Estimation for Massive MIMO-OFDM

2018 ◽  
Vol 38 (3) ◽  
pp. 1114-1136 ◽  
Author(s):  
Ricardo Kehrle Miranda ◽  
João Paulo C. L. da Costa ◽  
Binghua Guo ◽  
André L. F. de Almeida ◽  
Giovanni Del Galdo ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Low Complexity ◽  
High Accuracy ◽  
Mimo Ofdm ◽  
Joint Channel

Training Based Hybrid Precoding Scheme for Multiuser Massive MIMO-OFDM

2021 ◽  
pp. 1-1
Author(s):  
Yiwei Sun ◽  
Hua Wang ◽  
Minghao Yuan ◽  
Tianye Zhu ◽  
Agnes Kawoya
Keyword(s):  
Massive Mimo ◽  
Hybrid Precoding ◽  
Mimo Ofdm

scholarly journals Channel Estimation for Massive MIMO-OFDM Systems by Tracking the Joint Angle-Delay Subspace

IEEE Access ◽  
2016 ◽  
pp. 1-1 ◽  
Author(s):  
Yu Zhang ◽  
Dongming Wang ◽  
Jiangzhou Wang ◽  
Xiaohu You
Keyword(s):  
Channel Estimation ◽  
Massive Mimo ◽  
Joint Angle ◽  
Ofdm Systems ◽  
Mimo Ofdm

scholarly journals Structured Turbo Compressed Sensing for Downlink Massive MIMO-OFDM Channel Estimation

2019 ◽  
Vol 18 (8) ◽  
pp. 3813-3826 ◽  
Author(s):  
Xiaoyan Kuai ◽  
Lei Chen ◽  
Xiaojun Yuan ◽  
An Liu
Keyword(s):  
Channel Estimation ◽  
Compressed Sensing ◽  
Massive Mimo ◽  
Mimo Ofdm
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