ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771 ----- Impact Factor: 9.625
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    MACHINE LEARNING ASSISTED MM-WAVE MIMO ANTENNA DESIGN WITH HIGH ISOLATION FOR 5G

    1VUPPUTURI SHARANYA, 2J.V. PRABHAKAR RAO

    Author

    ID: 3636

    DOI:

    Abstract :

    The Rapid Evolution Of Fifth-generation (5G) Wireless Communication Systems Has Increased The Demand For Compact, High-performance Antennas Capable Of Delivering High Data Rates, Low Latency, And Reliable Connectivity. Millimeter-wave (mm-Wave) Multiple-Input Multiple- Output (MIMO) Antenna Technology Has Emerged As A Promising Solution Because Of Its Ability To Provide Higher Bandwidth, Improved Spectral Efficiency, And Enhanced Communication Capacity. However, Designing Compact MIMO Antennas Presents Significant Challenges Due To Mutual Coupling Between Closely Spaced Antenna Elements, Which Negatively Affects Isolation, Gain, Radiation Efficiency, And Overall System Performance.

    Published:

    25-7-2026

    Issue:

    Vol. 26 No. 7 (2026)


    Page Nos:

    950 - 958


    Section:

    Articles

    License:

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    1VUPPUTURI SHARANYA, 2J.V. PRABHAKAR RAO, MACHINE LEARNING ASSISTED MM-WAVE MIMO ANTENNA DESIGN WITH HIGH ISOLATION FOR 5G , 2026, International Journal of Engineering Sciences and Advanced Technology, 26(7), Page 950 - 958, ISSN No: 2250-3676.

    DOI: