Review of Computer Engineering Research

Published by: Conscientia Beam
Online ISSN: 2410-9142
Print ISSN: 2412-4281
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No. 2

Comprehensive Analysis & Performance Comparison of Clustering Algorithms for Big Data

Pages: 54-80
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Comprehensive Analysis & Performance Comparison of Clustering Algorithms for Big Data

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DOI: 10.18488/journal.76.2017.42.54.80

Anand Nayyar , Vikram Puri

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Anand Nayyar , Vikram Puri (2017). Comprehensive Analysis & Performance Comparison of Clustering Algorithms for Big Data. Review of Computer Engineering Research, 4(2): 54-80. DOI: 10.18488/journal.76.2017.42.54.80
21st Century has marked high velocity of data generation not only in terms of size but also in variety. Analyzing large data sets with different forms is also a challenging task. Data Mining is regarded as efficient method to extract meaningful information as per user requirements. But considering the size of modern data, traditional data mining techniques are failing. Clustering can be regarded as one of the most important technique to mine the data by splitting large data sets into clusters. The paper’s primary contribution is to provide comprehensive analysis of Big Data Clustering algorithms on basis of: Partitioning, Hierarchical, Density, Grid and Model. In addition to this, performance comparison of algorithms is performed on basis of volume, variety and velocity.
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PAPR Reduction Using Eight Factors Rotating Phase Shift Technique Based on Local Search Algorithm in OFDM

Pages: 38-53
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PAPR Reduction Using Eight Factors Rotating Phase Shift Technique Based on Local Search Algorithm in OFDM

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DOI: 10.18488/journal.76.2017.42.38.53

Citation: 1

Ali Kareem Nahar , Ahmed N. Abdalla , Ali Y. Jaber , Mohammed Moanes Ezzaldean

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Ali Kareem Nahar , Ahmed N. Abdalla , Ali Y. Jaber , Mohammed Moanes Ezzaldean (2017). PAPR Reduction Using Eight Factors Rotating Phase Shift Technique Based on Local Search Algorithm in OFDM. Review of Computer Engineering Research, 4(2): 38-53. DOI: 10.18488/journal.76.2017.42.38.53
Orthogonal frequency division multiplexing (OFDM), Multi-Carrier (MC) system, is a popular standard in wireless communication for its enabling high throughput data transfer.  However, the MC signal usually has a high peak-to-average power ratio (PAPR), which involves a wide-dynamic-range, power consuming amplifier.  Whenever the signal height is greater than the amplified linear region, the signal is distorted. In this paper, propose a novel scheme that rotating phase shift (RPS) technique based signal scrambling is proposed to reduce PAPR in OFDM systems.  In addition, the pilot phase signal is picked out by RPS technique applied new algorithm the local research to alleviate scrambling information corruption and show discernible advancements. So, our technique improves over the existing ones in the same category.  The transmitted signal of OFDM is tested with Mobile WiMAX IEEE 802.16e standard, that compared the various phase shift with a slight computational complexity is studied.  The simulation result shows that original signal at pilot-assisted QAM is capable of bringing down the electrical PAPR by about 3.5 times as a modest complementary cumulative distribution function (CCDF) point of 10-3 for M=8 low complexity.  In addition, the best phase-shift factor was selected to reduce the monetary value of computational complexity.
Contribution/ Originality
The paper contributes the first logical analysis eight factors rotating phase shift (RPS). The proposed method is applied local research algorithms to reduce peak-to-average power ratio based on OFDM.