aspg-18-2590-1792025624 20261015005344 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Intelligent Systems and Internet of Things JISIoT 2769-786X 2690-6791 2024 12 1 Nora Ahmed Mohammed College of Engineering, Al-Qadisiyah University, Iraq Ghufran abdulqader alhaddad College of Engineering, Al-Qadisiyah University, Iraq Marwa S. J. College of Engineering, Al-Qadisiyah University, Iraq Hasanain Jawad Radeef Federal Board of supreme audit, AL- Diwaniyah, Iraq The growing demand for wireless applications has led to network congestion issues. In response, network operators have recommended a transition to higher frequencies, particularly within the unlicensed millimeter-wave (mm-wave) spectrum. This shift aims to fulfill users' desires for rapid data transmission within personal networks, whether at home or in the office, exemplified by technologies like WiGig technology and indoor applications. However, a significant challenge in achieving high data transfer speeds within this frequency range lies in the design of the antenna. These antennas must strike a balance between size and performance. Microstrip Patch (MP) antennas have gained recognition for their compact form and seamless integration into mobile communication systems. Nonetheless, they grapple with limitations such as poor gain and narrow bandwidth, largely attributable to surface waves negatively impacting antenna performance. In this study, we introduce, design, and optimize an MP antenna tailored for 60 GHz applications. To enhance the performance of the MP antenna, we introduce various mushroom-like Electromagnetic Bandgap (EBG) structures. These structures address the propagation of the surface waves issue that affects the antenna performance. Additionally, to create a tunable frequency antenna the variable conductivity of the graphene material is used in the form of implanted slots on the patch and tuned by applied DC voltage on the slots. Finally, the parameters of the MP antenna undergo enhancement based on simulation results obtained through CST software. 2024 144 157 2590 https://creativecommons.org/licenses/by/4.0/ 10.54216/JISIoT.120111 https://americaspg.com/journal/18/article/2590 https://americaspg.com/storage/01748963447.pdf