Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Journal of Smart Internet of Things
Volume 2023 (2023): Issue 2 (December 2023)
Open Access
Massive Connectivity and Low-Latency for Next-Generation Internet of Things: A Filtered OFDM-based Deep Learning Approach
Sajjad Hussain
Sajjad Hussain
,
Aftab Hussain
Aftab Hussain
,
Muhmmad Waleed Aftab
Muhmmad Waleed Aftab
,
Hamza Kundi
Hamza Kundi
,
Irfan Ullah
Irfan Ullah
,
Abid Ali
Abid Ali
,
Shahid Rasool
Shahid Rasool
,
Umar Ali Khan
Umar Ali Khan
and
Hassan M. Al-Jawahry
Hassan M. Al-Jawahry
| Dec 15, 2023
Journal of Smart Internet of Things
Volume 2023 (2023): Issue 2 (December 2023)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Dec 15, 2023
Page range:
115 - 121
Received:
Sep 15, 2023
Accepted:
Nov 10, 2023
DOI:
https://doi.org/10.2478/jsiot-2023-0014
Keywords
Deep learning
,
internet of things
,
6G
,
orthogonal frequency division multiplexing
,
massive machine-type communication
,
ultra-reliable and low-latency communications
© 2023 Sajjad Hussain et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.