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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
2024-11-25
Vol. 19, No. 11 has been published online!
2024-10-16
Vol. 19, No. 10 has been published online!
2024-08-20
Vol. 19, No. 8 has been published online!
Home
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Published Issues
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2023
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Volume 18, No. 9, September 2023
>
Volume 18, No. 9, September 2023
Article#
Article Title & Authors (Volume 18, No. 9, September 2023)
Page
1
An Efficient Digital Code Shifted Reference (CSR) Based UWB Transceiver on FPGA Platform
Santhosh Kumar R. *, Rajashree Narendra, and Devaraju Ramakrishna
537
2
Development of an Optimum Beamforming Strategy for Outdoor Communication in Millimeter Wave Wireless Sensor Network
Ogwal Emmanuel, Joseph Ebosetale Okhaifoh, Ebenezer Esenogho*, and Edwin Matlotse
545
3
Cubic Metric Reduction by Hybrid Companding-Universal Filtered Multi-carrier in 5G Networks
Farooq Sijal Shawqi*, Lukman Audah, Sameer Alani, Ahmed Talaat Hammoodi, and Mohammed Ahmed Jubair
555
4
Multicommodity Flow Reliability for Energy Harvesting Wireless Sensor Networks
John Penaflor and Mohammed Elmorsy *
571
5
Performance of LTE Advanced for Different Releases
Raed S. M. Daraghma * and Arafat A. A. Shabaneh
581
6
Intelligent Metaheuristic-based Handover Algorithm for Vehicular Ad hoc Networks
Gbenga O. Oladosu, Chunling Tu *, Pius A. Owolawi, and Topside E. Mathonsi
589
7
Improvement in the Quality of Services in Sub-6 GHz/mm Wave Using Equalizers and Decoupling of UL and DL with Machine Learning Approach
R. Padmasree* and B. Rajendra Naik
599