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General Information
ISSN:
1796-2021 (Online); 2374-4367 (Print)
Abbreviated Title:
J. Commun.
Frequency:
Monthly
DOI:
10.12720/jcm
Abstracting/Indexing:
Scopus
;
DBLP
;
CrossRef
,
EBSCO
,
Google Scholar
;
CNKI,
etc.
E-mail questions
or comments to
editor@jocm.us
Acceptance Rate:
27%
APC:
800 USD
Average Days to Accept:
88 days
3.4
2023
CiteScore
51st percentile
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Editor-in-Chief
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
[Read More]
What's New
2024-10-16
Vol. 19, No. 10 has been published online!
2024-08-20
Vol. 19, No. 8 has been published online!
2024-07-22
Vol. 19, No. 7 has been published online!
Home
>
Published Issues
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2024
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Volume 19, No. 2, 2024
>
Volume 19, No. 2, 2024
Article#
Article Title & Authors (Volume 19, No. 2, 2024)
Page
1
Spectral-Efficient and Power-Efficient MIMOOFDM System with Time Diversity for Flat Fading Channel with Arbitrary Doppler Frequency Shift
Eman Zakaria*, Ashraf Y. Hassan, H. EL Hennawy, and Abdelhady M. Abdelhady
53
2
FT-CSMA: A Fine-Tuned CSMA Protocol for LoRa-Based Networks
Chaib Mostefa, Tahar Abbes Mounir*, Allali Mahamed Abdelmadjid, and Abdelouahab Noua
65
3
Internet of Things: Security, Issues, Threats, and Assessment of Different Cryptographic Technologies
Mostafa Raeisi-Varzaneh, Omar Dakkak*, Hashem Alaidaros, and İsa Avci
78
4
Efficient Generation of Puncturing-Assisted Rate-Matched 5G New Radio LDPC Codes for Faster-Than-Nyquist Signaling
Asma A. Alqudah*, Khaled F. Hayajneh, Hasan A. Aldiabat, and Hazim M. Shakhatreh
90
5
Comparison of Machine Learning Approaches Based on Multiple Channel Attributes for Authentication andSpoofing Detection at the Physical Layer
Andrea Stomaci, Dania Marabissi*, and Lorenzo MucchiAndrea Stomaci, Dania Marabissi*, and Lorenzo Mucchi
99
6
Machine Learning for Channel Coding: A Paradigm Shift from FEC Codes
Kayode A. Olaniyi, Reolyn Heymann, and Theo G. Swart*
107
7
Performance Evaluation of EADQR Across Various Path Loss Models Through Propagation Analysis
Mohamed Najmus Saqhib* and Lakshmikanth S.
119