scholarly journals GWO Based Optimal Channel Estimation Technique for Large Scale Mimo in LTE Network

2019 ◽  
Vol 8 (12) ◽  
pp. 5306-5314
Keyword(s):  
Channel Estimation ◽  
Spectral Efficiency ◽  
Large Scale ◽  
Performance Metrics ◽  
Mean Squared Error ◽  
Mimo Systems ◽  
Fourth Generation ◽  
High Data ◽  
Data Rates ◽  
High Data Rates

The Wireless Systems Are Employed With More Number Of Antennas For Fulfilling The Demand For High Data Rates. In Telecommunication, Lte-A (Long Term EvolutionAdvanced) Is A Well-Known Technology Intended For Wireless Broadband Communication Aimed At Data Terminals And Mobile Devices. Multiple Input Multiple Output (Mimo) Technology Is Used By Lte Which Is Also Known As Fourth Generation Mobile Networks To Attain Very High Data Rates In Downlink And Uplink Channels. Though The Mimo Systems In Massive Mimo Are Provided By Multiple Antennas, The Design Of The Appropriate Non-Erroneous Detection Algorithm Is A Major Challenge. Also, With The Increase In Quantity Of Antennas, The System's Spectral Efficiency Begins To Degrade. So As To Deal With This Issue, A Proper Algorithm Has To Be Utilized For Channel Estimation. The Bio Inspired Algorithms Have Shown Potential In Handling These Issues In Communication And Signal Processing. So, Grey Wolf Optimization (Gwo) Algorithm Is Used In This Approach To Estimate The Most Optimal Communication Channel. Also, The Spectral Efficiency And Data Capacity Are Enhanced Using The Presented Approach. The Proposed Approach’s Performance Is Compared With The Existing Approaches. The Simulation Result Exposes That The Presented Channel Estimation Approach Is Far Better Than Existing Channel Estimation Approaches In Performance Metrics Such As Bit Error Rate, Minimum Delay, Papr, Spectral Efficiency, Uplink Throughput, Downlink Throughput And Mean-Squared-Error

scholarly journals BER Analysis of Hybrid Precoded Massive MIMO Systems in Downlink with Receiver Beamforming over mmwave Channels

2019 ◽  
Vol 8 (9S) ◽  
pp. 561-566
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Wiener Filter ◽  
Error Performance ◽  
Low Snr ◽  
High Data ◽  
Data Rates ◽  
Significant Research ◽  
High Data Rates ◽  
Ber Performance

Next generation networks are required to deliver extremely high data rates in order to enable mission critical services, massive IoT and enhanced mobile broadband. In the pursuit of high data rates, significant research is focused on higher frequency bands. mmWaves are the most promising carriers because of their associated bandwidth benefits. However, on the other hand, mmWaves also bring along difficulties in link management as the channel is totally different from the traditional systems. This paper evaluates the BER performance of mmWave-massive MIMO systems with Hybrid precoding and receiver beamforming. The availability of perfect CSI at both the transmitting and receiving ends of the downlink is assumed. The results demonstrate that BER performance at low SNR region remains almost exclusive of the system dimensions as long as CSI is available. It was observed that almost 20 dB SNR is required to achieve error performance of 10-5 . Zero forcing and Wiener Filter precoder are also evaluated against each other with analog precoding and receiver beamforming

scholarly journals Massive BLAST: An Architecture for Realizing Ultra-High Data Rates for Large-Scale MIMO

2018 ◽  
Vol 7 (3) ◽  
pp. 404-407 ◽  
Author(s):  
Ori Shental ◽  
Sivarama Venkatesan ◽  
Alexei Ashikhmin ◽  
Reinaldo A. Valenzuela
Keyword(s):  
Large Scale ◽  
High Data ◽  
Data Rates ◽  
High Data Rates

scholarly journals Critical Aspects of 5G Technology- A Study on the Drivers, Technology Enhancement, Performance, and Spectrum Usage

2021 ◽  
pp. 22-33
Author(s):  
Akash R. Kathavate ◽  
Bhanu Priya ◽  
Rajeshwari Hegde ◽  
Sharath Kumar
Keyword(s):  
Network Architecture ◽  
Spectrum Management ◽  
User Preferences ◽  
Fourth Generation ◽  
Low Latency ◽  
High Data ◽  
Data Rates ◽  
Ip Network ◽  
High Data Rates ◽  
Increasing Demand

Pursuit for a new feasible technology has always been the main intention of every telecom company to satisfy the dire needs of the increasing demand for higher data rates and uninterrupted communication. The Fourth Generation (4G) network deployed presently works on an All-IP Network architecture providing features like low latency and high data rates. Owing to many user applications which make use of constant internet connection and high data rate, 5G was launched. Keeping in line with current trends, user preferences, and requirements, technology standards have evolved from 1G, 2G, 3G, 4G, and now 5G. Thus, 5G mobile technology makes use of Flat-IP Network architecture which fulfills the need for high data rates and ultra low latency thus providing overall latency. Thus, this paper intends to discuss the various performance parameters, necessities, evolutionary enhancements, the shift in the architecture and protocols involved from 4G to 5G to achieve a full real wireless world, and also about the spectrum management and challenges.

scholarly journals Low-complexity beam-domain channel estimation and power allocation in hybrid architecture massive MIMO systems

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Xiao Chen ◽  
Zaichen Zhang ◽  
Liang Wu ◽  
Jian Dang
Keyword(s):  
Channel Estimation ◽  
Power Allocation ◽  
Spectral Efficiency ◽  
Communication Systems ◽  
Mimo Systems ◽  
Beam Steering ◽  
Estimation Method ◽  
Low Complexity ◽  
Estimation Accuracy ◽  
Hybrid Architecture

Abstract In this journal, we investigate the beam-domain channel estimation and power allocation in hybrid architecture massive multiple-input and multiple-output (MIMO) communication systems. First, we propose a low-complexity channel estimation method, which utilizes the beam steering vectors achieved from the direction-of-arrival (DOA) estimation and beam gains estimated by low-overhead pilots. Based on the estimated beam information, a purely analog precoding strategy is also designed. Then, the optimal power allocation among multiple beams is derived to maximize spectral efficiency. Finally, simulation results show that the proposed schemes can achieve high channel estimation accuracy and spectral efficiency.

Detektion von Bauteilfehlern aus Maschinendaten/Detection of workpiece flaws out of machine tool data – possibilities and limits

2019 ◽  
Vol 109 (11-12) ◽  
pp. 828-832
Author(s):  
M. Weigold ◽  
A. Fertig ◽  
C. Bauerdick
Keyword(s):  
Quality Assurance ◽  
Machine Tool ◽  
Machine Tools ◽  
Machining Time ◽  
Parallel Detection ◽  
High Data ◽  
Novel Approach ◽  
Data Rates ◽  
High Data Rates

Durch zunehmende Vernetzung und Digitalisierung von Werkzeugmaschinen und Automatisierungskomponenten ergibt sich die Möglichkeit, Signale mit hohen Datenraten und großer Vielfalt aufzuzeichnen. Der vorliegende Beitrag beschreibt erste Untersuchungen zur Realisierbarkeit einer prozessparallelen Detektion von Bauteilfehlern auf Basis interner Werkzeugmaschinendaten. Dabei werden Potenziale und Grenzen für diesen neuartigen Ansatz zur hauptzeitparallelen Qualitätssicherung aufgezeigt.   The increasing networking and digitization of machine tools and automation components provides the opportunity to record signals with high data rates and great diversity. This paper describes first investigations on the feasibility of a process-parallel detection of component defects on the basis of internal machine tool data. Potentials and limits for this novel approach to quality assurance parallel to machining time are presented.

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