scholarly journals Optimization of Massive MIMO-OFDM Systems for PAPR Reduction

2020 ◽  
Vol 2 (2) ◽  
pp. 29-35
Author(s):  
Sivasankari J ◽  
Sridevi B ◽  
Mahima L
Keyword(s):  
Massive Mimo ◽  
Firefly Algorithm ◽  
Ofdm Systems ◽  
Ofdm System ◽  
High Data ◽  
Recent Approach ◽  
Current Scenario ◽  
Mimo Ofdm ◽  
Mimo Technology

Of late there has been an increase in use of wireless communication system. The recent approach used is Massive-MIMO technology. But in the current scenario where spectrum is limited, the demand for high data degrades the quality of services. Therefore, OFDM system was proposed. Though coupling OFDM system with MIMO can further improve the performance of next generation wireless systems, there are certain issues like antenna design, channel estimation, PAPR etc. which requires due consideration. Amongst them, PAPR is the major problem that contributes high in performance degradation. To overcome this issue, Modified Firefly algorithm is used which was inspired the behaviour of fireflies. With the firefly algorithm, PAPR is highly reduced leading to better performance.

scholarly journals On the Comparison of Various Overhead Arrangements for Massive MIMO-OFDM Channel Estimation

2014 ◽  
Vol 60 (2) ◽  
pp. 173-179 ◽  
Author(s):  
Pallaviram Sure ◽  
Chandra Mohan Bhuma
Keyword(s):  
System Reliability ◽  
Massive Mimo ◽  
Orthogonal Frequency Division Multiplexing ◽  
Mimo Systems ◽  
Cyclic Prefix ◽  
Doppler Spectrum ◽  
Ofdm Systems ◽  
Ofdm System ◽  
High Data ◽  
Mimo Ofdm

Abstract Massive multi input multi output (MIMO) systems incorporate orthogonal frequency division multiplexing (OFDM) technology to render high data rate services for future wireless communication applications. The channel estimator (CE) employed by a reliable massive MIMO-OFDM system requires huge amount of overhead in the form of known and null data transmissions, hence limiting the system spectral efficiency (SE). Often, CE design is a tradeoff between SE and system reliability. In this paper, CE with three different overhead arrangements, namely time domain synchronous (TDS), comb type with cyclic prefix (CTCP), 2D grid type with cyclic prefix (GTCP) are investigated and a GTCP based CE is proposed which offers both high SE and improved system reliability. The proposed CE uses autocorrelation based denoising threshold for channel impulse response (CIR) estimation and does not require any knowledge of channel statistics (KCS). A 4 x 16 MIMO-OFDM system is simulated in a rayleigh fading channel environment with U-shaped doppler spectrum. From the bit error rate (BER) performance results inWiMax SUI-4, Advanced Television Technology Center (ATTC) and Brazil A channel environments, it is verified that the proposed CE with GTCP overhead and proposed denoising scheme, indeed improves both SE and system reliability. Hence it is suitable for application in all massive MIMO-OFDM systems.

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 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

An Effective Channel Estimation for Massive MIMO–OFDM System

2020 ◽  
Vol 114 (1) ◽  
pp. 209-226
Author(s):  
Tanairat Mata ◽  
Pisit Boonsrimuang
Keyword(s):  
Channel Estimation ◽  
Massive Mimo ◽  
Ofdm System ◽  
Mimo Ofdm ◽  
Effective Channel
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