Redirigiendo al acceso original de articulo en 15 segundos...
ARTÍCULO
TITULO

Comparative Analysis of 16-QAM and 64-QAM Modulation in Additive White Gaussian Noise and Rayleigh Fading Channels DOI : 10.24114/cess.v7i1.26729 | Abstract views : 125 times

Khoirun Ni'amah    
Muhammad Panji Kusuma Praja    
Yuninda Dwianti Marimbun    

Resumen

This reseach simulates and analyzes paramaters bit error rate (BER) of 16-QAM and 64-QAM modulation on Additive White Gaussian Noise and Rayleigh Fading channels. This research aims to determine 5G modulation with the level of data quality after the transmission process is carried out. The modulation simulation results obtained will be compared with the theoretical bit error rate (BER). The simulation results obtained from the two channel scenarios used are 16-QAM modulation reaching BER 10-4, AWGN channel only requires 15 dB Eb/N0 and for Rayleigh Fading channel it requires 38 dB Eb/N0. The BER theoretical results obtained for the 16-QAM modulation of the AWGN channel have a difference of 3 dB with the simulation results, while for the Rayleigh Fading channel it is 5 dB. Then, the simulation results of 64-QAM modulation AWGN channel to achieve BER 10-4 requires Eb/N0 of 24.6 dB, Rayleigh Fading of 47 dB. The theoretical results of BER obtained for the 64-QAM modulation of the AWGN channel have a difference of 1 dB with the simulation results, while for the Rayleigh Fading channel it is 0.5 dB. In this study, between 16-QAM and 64-QAM 5G modulation is more suitable to use 16-QAM modulation because it requires less power to achieve the desired BER 10-4.

 Artículos similares

       
 
Kristina Mazur, Mischa Saleh and Mirko Hornung    
Early and rapid environmental assessment of newly developed aircraft concepts is eminent in today?s climate debate. This can shorten the decision-making process and thus accelerate the entry into service of climate-friendly technologies. A holistic appro... ver más
Revista: Aerospace

 
Maryan Rizinski, Andrej Jankov, Vignesh Sankaradas, Eugene Pinsky, Igor Mishkovski and Dimitar Trajanov    
The task of company classification is traditionally performed using established standards, such as the Global Industry Classification Standard (GICS). However, these approaches heavily rely on laborious manual efforts by domain experts, resulting in slow... ver más
Revista: Information

 
George Westergaard, Utku Erden, Omar Abdallah Mateo, Sullaiman Musah Lampo, Tahir Cetin Akinci and Oguzhan Topsakal    
Automated Machine Learning (AutoML) tools are revolutionizing the field of machine learning by significantly reducing the need for deep computer science expertise. Designed to make ML more accessible, they enable users to build high-performing models wit... ver más
Revista: Information

 
Hamed Taherdoost and Mitra Madanchian    
Blockchain technology has become a powerful disruptive force that upends established ideas in several industries. A fascinating point of convergence is that of blockchain technology and Business Process Management (BPM), where the distributed and immutab... ver más
Revista: Information

 
Carolina Bona-Sánchez, Heidi Salokangas and Kaisa Sorsa    
This study explores the complexities of cost behavior in the textile industry, conducting a comparative analysis between firms in the Nordic countries and Spain. Our main goal is to examine how distinct economic and corporate governance models impact the... ver más
Revista: Applied Sciences