A Comparative Analysis of Implementing 5G through Deep Learning

Mrinalini, Kamlesh Kumar Singh, Himanshu Katiyar

2021

Abstract

Fifth Generation of Cellular Networks will give ubiquitous and wide reliable coverage as well as find its applications in powering critical-mission, huge IoT deployments, and M2M Communications. These utilisation need low latency and high capacity capable technology that can suggested as Generalized Frequency Division Multiplexing due to its highly supportive physical structure for 5G. Deep Learning(DL) is implemented to the large value of complex data of GFDM input Signal in order to analyse the performance in terms of Bit Error Rate(BER) along with Signal to Noise Ratio(SNR).In this paper, two different methods of DL is considered and compared for better designing and performance purpose. Various methods of Deep Learning are analysed for technical advancement of 5G Cellular Network. This paper consists analysis of different aspects of DL in 5G such as implementation in Massive MIMO, mmWave Communication and NOMA systems

Paper Citation

in Harvard Style

Mrinalini., Singh K. and Katiyar H. (2021). A Comparative Analysis of Implementing 5G through Deep Learning. In Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE, ISBN 978-989-758-544-9, pages 165-169. DOI: 10.5220/0010564600003161

in Bibtex Style

@conference{icacse21,
author={Mrinalini and Kamlesh Kumar Singh and Himanshu Katiyar},
title={A Comparative Analysis of Implementing 5G through Deep Learning},
booktitle={Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,},
year={2021},
pages={165-169},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010564600003161},
isbn={978-989-758-544-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,
TI - A Comparative Analysis of Implementing 5G through Deep Learning
SN - 978-989-758-544-9
AU - Mrinalini.
AU - Singh K.
AU - Katiyar H.
PY - 2021
SP - 165
EP - 169
DO - 10.5220/0010564600003161