IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i19p6204-d645692.html
   My bibliography  Save this article

A Novel Approach of Design and Analysis of a Hexagonal Fractal Antenna Array (HFAA) for Next-Generation Wireless Communication

Author

Listed:
  • Satheeshkumar Palanisamy

    (Department of ECE, Coimbatore Institute of Technology, Coimbatore 641014, Tamilnadu, India)

  • Balakumaran Thangaraju

    (Department of ECE, Coimbatore Institute of Technology, Coimbatore 641014, Tamilnadu, India)

  • Osamah Ibrahim Khalaf

    (Al-Nahrain Nano-Renewable Energy Research Center, Al-Nahrain University, Baghdad 10072, Iraq)

  • Youseef Alotaibi

    (Department of Computer Science, College of Computer and Information Systems, Umm Al-Qura University, Makkah 21955, Saudi Arabia)

  • Saleh Alghamdi

    (Department of Information Technology, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia)

  • Fawaz Alassery

    (Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia)

Abstract

The study and exploration of massive multiple-input multiple-output (MMIMO) and millimeter-wave wireless access technology has been spurred by a shortage of bandwidth in the wireless communication sector. Massive MIMO, which combines antennas at the transmitter and receiver, is a key enabler technology for next-generation networks to enable exceptional spectrum and energy efficiency with simple processing techniques. For massive MIMOs, the lower band microwave or millimeter-wave band and the antenna are impeccably combined with RF transceivers. As a result, the 5G wireless communication antenna differs from traditional antennas in many ways. A new concept of the MIMO tri-band hexagonal antenna array is being introduced for next-generation cellular networks. With a total scaling dimension of 150 × 75 mm 2 , the structure consists of multiple hexagonal fractal antenna components at different corners of the patch. The radiating patch resonates at 2.55–2.75, 3.45–3.7, and 5.65–6.05 GHz (FR1 band) for better return loss (S11) of more than 15 dB in all three operating bands. The coplanar waveguide (CPW) feeding technique and defective ground structure in the ground plane have been employed for effective impedance matching. The deviation of the main lobe of the radiation pattern is achieved using a two-element microstrip Taylor antenna array with series feeding, which also boosts the antenna array’s bandwidth and minimizes sidelobe. The proposed antenna is designed, simulated, and tested in far-field radiating conditions and generates tri-band S-parameters with sufficient separation and high-quality double-polarized radiation. The fabrication and testing of MIMO antennas were completed, where the measurement results matched the simulation results. In addition, the 5G smartphone antenna system requires a new, lightweight phased microwave antenna (μ-wave) with wide bandwidth and a fire extender. Because of its decent performance and compact architectures, the proposed smartphone antenna array architecture is a better entrant for upcoming 5G cellular implementations.

Suggested Citation

  • Satheeshkumar Palanisamy & Balakumaran Thangaraju & Osamah Ibrahim Khalaf & Youseef Alotaibi & Saleh Alghamdi & Fawaz Alassery, 2021. "A Novel Approach of Design and Analysis of a Hexagonal Fractal Antenna Array (HFAA) for Next-Generation Wireless Communication," Energies, MDPI, vol. 14(19), pages 1-18, September.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6204-:d:645692
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/19/6204/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/19/6204/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nishant Jha & Deepak Prashar & Osamah Ibrahim Khalaf & Youseef Alotaibi & Abdulmajeed Alsufyani & Saleh Alghamdi, 2021. "Blockchain Based Crop Insurance: A Decentralized Insurance System for Modernization of Indian Farmers," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    2. Salil Bharany & Sandeep Sharma & Sumit Badotra & Osamah Ibrahim Khalaf & Youseef Alotaibi & Saleh Alghamdi & Fawaz Alassery, 2021. "Energy-Efficient Clustering Scheme for Flying Ad-Hoc Networks Using an Optimized LEACH Protocol," Energies, MDPI, vol. 14(19), pages 1-20, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hemavathi & Sreenatha Reddy Akhila & Youseef Alotaibi & Osamah Ibrahim Khalaf & Saleh Alghamdi, 2022. "Authentication and Resource Allocation Strategies during Handoff for 5G IoVs Using Deep Learning," Energies, MDPI, vol. 15(6), pages 1-27, March.
    2. Kuruva Lakshmanna & Neelakandan Subramani & Youseef Alotaibi & Saleh Alghamdi & Osamah Ibrahim Khalafand & Ashok Kumar Nanda, 2022. "Improved Metaheuristic-Driven Energy-Aware Cluster-Based Routing Scheme for IoT-Assisted Wireless Sensor Networks," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    3. Yanzhi Zhao & Mingsi Zhao & Fengyu Shi, 2024. "Integrating Moral Education and Educational Information Technology: A Strategic Approach to Enhance Rural Teacher Training in Universities," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 15053-15093, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kuruva Lakshmanna & Neelakandan Subramani & Youseef Alotaibi & Saleh Alghamdi & Osamah Ibrahim Khalafand & Ashok Kumar Nanda, 2022. "Improved Metaheuristic-Driven Energy-Aware Cluster-Based Routing Scheme for IoT-Assisted Wireless Sensor Networks," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    2. Akashdeep Bhardwaj & Keshav Kaushik & Mashael S. Maashi & Mohammed Aljebreen & Salil Bharany, 2022. "Alternate Data Stream Attack Framework to Perform Stealth Attacks on Active Directory Hosts," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    3. Mohammed I. Alghamdi, 2022. "Optimization of Load Balancing and Task Scheduling in Cloud Computing Environments Using Artificial Neural Networks-Based Binary Particle Swarm Optimization (BPSO)," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    4. Keshav Kaushik & Akashdeep Bhardwaj & Salil Bharany & Naif Alsharabi & Ateeq Ur Rehman & Elsayed Tag Eldin & Nivin A. Ghamry, 2022. "A Machine Learning-Based Framework for the Prediction of Cervical Cancer Risk in Women," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    5. Salil Bharany & Sandeep Sharma & Osamah Ibrahim Khalaf & Ghaida Muttashar Abdulsahib & Abeer S. Al Humaimeedy & Theyazn H. H. Aldhyani & Mashael Maashi & Hasan Alkahtani, 2022. "A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud Computing," Sustainability, MDPI, vol. 14(10), pages 1-89, May.
    6. Salil Bharany & Sandeep Sharma & Surbhi Bhatia & Mohammad Khalid Imam Rahmani & Mohammed Shuaib & Saima Anwar Lashari, 2022. "Energy Efficient Clustering Protocol for FANETS Using Moth Flame Optimization," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    7. Manreet Sohal & Salil Bharany & Sandeep Sharma & Mashael S. Maashi & Mohammed Aljebreen, 2022. "A Hybrid Multi-Cloud Framework Using the IBBE Key Management System for Securing Data Storage," Sustainability, MDPI, vol. 14(20), pages 1-24, October.
    8. Hemavathi & Sreenatha Reddy Akhila & Youseef Alotaibi & Osamah Ibrahim Khalaf & Saleh Alghamdi, 2022. "Authentication and Resource Allocation Strategies during Handoff for 5G IoVs Using Deep Learning," Energies, MDPI, vol. 15(6), pages 1-27, March.
    9. Amit Sundas & Sumit Badotra & Salil Bharany & Ahmad Almogren & Elsayed M. Tag-ElDin & Ateeq Ur Rehman, 2022. "HealthGuard: An Intelligent Healthcare System Security Framework Based on Machine Learning," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    10. Mudassir Khan & A. Ilavendhan & C. Nelson Kennedy Babu & Vishal Jain & S. B. Goyal & Chaman Verma & Calin Ovidiu Safirescu & Traian Candin Mihaltan, 2022. "Clustering Based Optimal Cluster Head Selection Using Bio-Inspired Neural Network in Energy Optimization of 6LowPAN," Energies, MDPI, vol. 15(13), pages 1-14, June.
    11. Edeh Michael Onyema & M. Anand Kumar & Sundaravadivazhagn Balasubaramanian & Salil Bharany & Ateeq Ur Rehman & Elsayed Tag Eldin & Muhammad Shafiq, 2022. "A Security Policy Protocol for Detection and Prevention of Internet Control Message Protocol Attacks in Software Defined Networks," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    12. Muhammad Saad & Muhammad Khalid Khan & Maaz Bin Ahmad, 2022. "Blockchain-Enabled Vehicular Ad Hoc Networks: A Systematic Literature Review," Sustainability, MDPI, vol. 14(7), pages 1-31, March.
    13. Mohammed Shuaib & Sumit Badotra & Muhammad Irfan Khalid & Abeer D. Algarni & Syed Sajid Ullah & Sami Bourouis & Jawaid Iqbal & Salil Bharany & Lokesh Gundaboina, 2022. "A Novel Optimization for GPU Mining Using Overclocking and Undervolting," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    14. Reimund Schwarze & Oleksandr Sushchenko, 2022. "Climate Insurance for Agriculture in Europe: On the Merits of Smart Contracts and Distributed Ledger Technologies," JRFM, MDPI, vol. 15(5), pages 1-16, May.
    15. Hussien Mohamad Alakrash & Norizan Abdul Razak, 2021. "Technology-Based Language Learning: Investigation of Digital Technology and Digital Literacy," Sustainability, MDPI, vol. 13(21), pages 1-17, November.
    16. Supreet Kaur & Sandeep Sharma & Ateeq Ur Rehman & Elsayed Tag Eldin & Nivin A. Ghamry & Muhammad Shafiq & Salil Bharany, 2022. "Predicting Infection Positivity, Risk Estimation, and Disease Prognosis in Dengue Infected Patients by ML Expert System," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    17. Guangjie Lv & Caixia Song & Pengmin Xu & Zhiguo Qi & Heyu Song & Yi Liu, 2023. "Blockchain-Based Traceability for Agricultural Products: A Systematic Literature Review," Agriculture, MDPI, vol. 13(9), pages 1-32, September.
    18. Shailendra Pratap Singh & Youseef Alotaibi & Gyanendra Kumar & Sur Singh Rawat, 2022. "Intelligent Adaptive Optimisation Method for Enhancement of Information Security in IoT-Enabled Environments," Sustainability, MDPI, vol. 14(20), pages 1-23, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6204-:d:645692. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.