{"title":"下一代无线通信系统的机器学习优化太赫兹MIMO天线设计","authors":"Shobhit K. Patel , Abdullah Baz , Dhruvik Agravat","doi":"10.1016/j.asej.2025.103384","DOIUrl":null,"url":null,"abstract":"<div><div>To meet the growing demand for high data rates in densely populated mobile networks, the development of compact and efficient antenna designs is necessary for the implementation of 5G and 6G technologies. The use of MIMO antenna technology shows promises in reducing network congestion. The present study investigates the benefits associated with the utilization of graphene in terahertz (THz) antenna applications. This investigation culminates in the development of a distinctive multiband Double Graphene Stripline Slot Patch – MIMO (DGSSP-MIMO) antenna, which operates at three frequencies: 4.71 THz, 8.55 THz, and 9 THz. When graphene was added, the reflection response (S11) decreased to −37.2783 dB, indicating that the signal was well contained within the antenna, though the gain was 8.46 dB lower than that of antennas without graphene (12.94 dB). We obtained very good results (R<sup>2</sup> = 0.976822) when tuning the parameters using machine learning optimization techniques. This demonstrates that graphene could be used to create high-performance terahertz antennas. The DGSSP-MIMO antenna, with its multiband response, has a wide range of applications in wireless communication and 6G technology.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 6","pages":"Article 103384"},"PeriodicalIF":6.0000,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of machine learning optimized THz MIMO antenna for next-generation wireless communication systems\",\"authors\":\"Shobhit K. Patel , Abdullah Baz , Dhruvik Agravat\",\"doi\":\"10.1016/j.asej.2025.103384\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>To meet the growing demand for high data rates in densely populated mobile networks, the development of compact and efficient antenna designs is necessary for the implementation of 5G and 6G technologies. The use of MIMO antenna technology shows promises in reducing network congestion. The present study investigates the benefits associated with the utilization of graphene in terahertz (THz) antenna applications. This investigation culminates in the development of a distinctive multiband Double Graphene Stripline Slot Patch – MIMO (DGSSP-MIMO) antenna, which operates at three frequencies: 4.71 THz, 8.55 THz, and 9 THz. When graphene was added, the reflection response (S11) decreased to −37.2783 dB, indicating that the signal was well contained within the antenna, though the gain was 8.46 dB lower than that of antennas without graphene (12.94 dB). We obtained very good results (R<sup>2</sup> = 0.976822) when tuning the parameters using machine learning optimization techniques. This demonstrates that graphene could be used to create high-performance terahertz antennas. The DGSSP-MIMO antenna, with its multiband response, has a wide range of applications in wireless communication and 6G technology.</div></div>\",\"PeriodicalId\":48648,\"journal\":{\"name\":\"Ain Shams Engineering Journal\",\"volume\":\"16 6\",\"pages\":\"Article 103384\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2025-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ain Shams Engineering Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S209044792500125X\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S209044792500125X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Design of machine learning optimized THz MIMO antenna for next-generation wireless communication systems
To meet the growing demand for high data rates in densely populated mobile networks, the development of compact and efficient antenna designs is necessary for the implementation of 5G and 6G technologies. The use of MIMO antenna technology shows promises in reducing network congestion. The present study investigates the benefits associated with the utilization of graphene in terahertz (THz) antenna applications. This investigation culminates in the development of a distinctive multiband Double Graphene Stripline Slot Patch – MIMO (DGSSP-MIMO) antenna, which operates at three frequencies: 4.71 THz, 8.55 THz, and 9 THz. When graphene was added, the reflection response (S11) decreased to −37.2783 dB, indicating that the signal was well contained within the antenna, though the gain was 8.46 dB lower than that of antennas without graphene (12.94 dB). We obtained very good results (R2 = 0.976822) when tuning the parameters using machine learning optimization techniques. This demonstrates that graphene could be used to create high-performance terahertz antennas. The DGSSP-MIMO antenna, with its multiband response, has a wide range of applications in wireless communication and 6G technology.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.