Massive Connectivity and Low-Latency for Next-Generation Internet of Things: A Filtered OFDM-based Deep Learning Approach
Authors
Sajjad Hussain
Electrical Engineering Department, Gomal University, D.I.Khan, Pakistan
Aftab Hussain
Electrical Engineering Department, Gomal University, D.I.Khan, Pakistan
Muhmmad Waleed Aftab
Electrical Engineering Department, Gomal University, D.I.Khan, Pakistan
Hamza Kundi
Electrical Engineering Department, Gomal University, D.I.Khan, Pakistan
Irfan Ullah
Electrical Engineering Department, Gomal University, D.I.Khan, Pakistan
Abid Ali
Electrical Engineering Department, Gomal University, D.I.Khan, Pakistan
Shahid Rasool
Electrical Engineering Department, Gomal University, D.I.Khan, Pakistan
Umar Ali Khan
Electrical Engineering Department, Gomal University, D.I.Khan, Pakistan
Hassan M. Al-Jawahry
Computer Science Department, Faculty of Computer Science and Mathematics, University of Kufa, Najaf, Iraq
DOI: https://doi.org/10.2478/jsiot-2023-0014 | Journal eISSN: 2956-8323
Language: English
Page range: 115 - 121
Submitted on: Sep 15, 2023
Accepted on: Nov 10, 2023
Published on: Dec 15, 2023
Published by: Future Sciences For Digital Publishing
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Related subjects:
© 2023 Sajjad Hussain, Aftab Hussain, Muhmmad Waleed Aftab, Hamza Kundi, Irfan Ullah, Abid Ali, Shahid Rasool, Umar Ali Khan, Hassan M. Al-Jawahry, published by Future Sciences For Digital Publishing
This work is licensed under the Creative Commons Attribution 4.0 License.