High-Efficiency Dual-Band 8-Port MIMO Antenna Array for Enhanced 5G Smartphone Communications
Keywords:
5G smartphones, MIMO antenna, Dual-band, Isolation, Mutual coupling, Return loss, Antenna efficiencyAbstract
The study presents the design and analysis of a dual-band 8-port MIMO antenna array for 5G smartphone applications. The proposed antenna operates in the 3.30–3.65 GHz and 5.25–5.85 GHz bands, covering key sub-6 GHz frequencies for 5G communication. The antenna array employs inverted L-shaped monopole elements and a defected ground structure (DGS) to achieve efficient radiation performance and strong isolation between elements. Simulation and measurement results show that the antenna array achieves a return loss better than -25 dB across both frequency bands, with mutual coupling reduced to below -15 dB. The system demonstrates total efficiencies of over 75% at 3.5 GHz and 65% at 5.5 GHz, making it well-suited for high-efficiency MIMO systems. The antenna's compact design and high performance make it a strong candidate for integration into future 5G smartphones, supporting reliable, high-speed communication.
References
Shafique, K., Khawaja, B. A., Sabir, F., Qazi, S., & Mustaqim, M. (2020). Internet of things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT scenarios. Ieee Access, 8, 23022-23040.
Liu, Z., Costa, C., & Wu, Y. (2024). Data-Driven Optimization of Production Efficiency and Resilience in Global Supply Chains. Journal of Theory and Practice of Engineering Science, 4(08), 23-33.
Abdullah, M., Kiani, S. H., & Iqbal, A. (2019). Eight element multiple-input multiple-output (MIMO) antenna for 5G mobile applications. IEEE Access, 7, 134488-134495.
Feng, H. (2024, September). The research on machine-vision-based EMI source localization technology for DCDC converter circuit boards. In Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024) (Vol. 13275, pp. 250-255). SPIE.
Ibrahim, S. K., Singh, M. J., Al-Bawri, S. S., Ibrahim, H. H., Islam, M. T., Islam, M. S., ... & Abdulkawi, W. M. (2023). Design, challenges and developments for 5G massive MIMO antenna systems at sub 6-GHz band: a review. Nanomaterials, 13(3), 520.
Liu, Z., Costa, C., & Wu, Y. (2024). Quantitative Assessment of Sustainable Supply Chain Practices Using Life Cycle and Economic Impact Analysis.
Sun, Y., Pargoo, N. S., Jin, P. J., & Ortiz, J. (2024). Optimizing Autonomous Driving for Safety: A Human-Centric Approach with LLM-Enhanced RLHF. arXiv preprint arXiv:2406.04481.
Yao, Y. (2022). A Review of the Comprehensive Application of Big Data, Artificial Intelligence, and Internet of Things Technologies in Smart Cities. Journal of Computational Methods in Engineering Applications, 1-10.
Zhong, Y., Liu, Y., Gao, E., Wei, C., Wang, Z., & Yan, C. (2024). Deep Learning Solutions for Pneumonia Detection: Performance Comparison of Custom and Transfer Learning Models. medRxiv, 2024-06.
Xu, Q., Feng, Z., Gong, C., Wu, X., Zhao, H., Ye, Z., ... & Wei, C. (2024). Applications of explainable AI in natural language processing. Global Academic Frontiers, 2(3), 51-64.
Xie, T., Li, T., Zhu, W., Han, W., & Zhao, Y. (2024). PEDRO: Parameter-Efficient Fine-tuning with Prompt DEpenDent Representation MOdification. arXiv preprint arXiv:2409.17834.
Gu, W., Zhong, Y., Li, S., Wei, C., Dong, L., Wang, Z., & Yan, C. (2024). Predicting Stock Prices with FinBERT-LSTM: Integrating News Sentiment Analysis. arXiv preprint arXiv:2407.16150.
Song, B., & Zhao, Y. (2022, May). A comparative research of innovative comparators. In Journal of Physics: Conference Series (Vol. 2221, No. 1, p. 012021). IOP Publishing.
Liu, J., Li, K., Zhu, A., Hong, B., Zhao, P., Dai, S., ... & Su, H. (2024). Application of Deep Learning-Based Natural Language Processing in Multilingual Sentiment Analysis. Mediterranean Journal of Basic and Applied Sciences (MJBAS), 8(2), 243-260.
Gao, H., Wang, H., Feng, Z., Fu, M., Ma, C., Pan, H., ... & Li, N. (2016). A novel texture extraction method for the sedimentary structures’ classification of petroleum imaging logging. In Pattern Recognition: 7th Chinese Conference, CCPR 2016, Chengdu, China, November 5-7, 2016, Proceedings, Part II 7 (pp. 161-172). Springer Singapore.
Li, W., Li, H., Gong, A., Ou, Y., & Li, M. (2018, August). An intelligent electronic lock for remote-control system based on the internet of things. In journal of physics: conference series (Vol. 1069, No. 1, p. 012134). IOP Publishing.
Zhou, R. (2024). Understanding the Impact of TikTok's Recommendation Algorithm on User Engagement. International Journal of Computer Science and Information Technology, 3(2), 201-208.
Zhang, Y., & Fan, Z. (2024). Memory and Attention in Deep Learning. Academic Journal of Science and Technology, 10(2), 109-113.
Zhang, Y., & Fan, Z. (2024). Research on Zero knowledge with machine learning. Journal of Computing and Electronic Information Management, 12(2), 105-108.
Yao, Y. (2024). Neural Network-Driven Smart City Security Monitoring in Beijing Multimodal Data Integration and Real-Time Anomaly Detection. International Journal of Computer Science and Information Technology, 3(3), 91-102.
Sun, Y., Pai, N., Ramesh, V. V., Aldeer, M., & Ortiz, J. (2023). GeXSe (Generative Explanatory Sensor System): An Interpretable Deep Generative Model for Human Activity Recognition in Smart Spaces. arXiv preprint arXiv:2306.15857.
Xu, T. (2024). Comparative Analysis of Machine Learning Algorithms for Consumer Credit Risk Assessment. Transactions on Computer Science and Intelligent Systems Research, 4, 60-67.
Xu, T. (2024). Credit Risk Assessment Using a Combined Approach of Supervised and Unsupervised Learning. Journal of Computational Methods in Engineering Applications, 1-12.
Wang, J., Zhang, H., Zhong, Y., Liang, Y., Ji, R., & Cang, Y. (2024). Advanced Multimodal Deep Learning Architecture for Image-Text Matching. arXiv preprint arXiv:2406.15306.
Wang, J., Li, X., Jin, Y., Zhong, Y., Zhang, K., & Zhou, C. (2024). Research on image recognition technology based on multimodal deep learning. arXiv preprint arXiv:2405.03091.
Xia, Y., Liu, S., Yu, Q., Deng, L., Zhang, Y., Su, H., & Zheng, K. (2023). Parameterized Decision-making with Multi-modal Perception for Autonomous Driving. arXiv preprint arXiv:2312.11935.
Lin, Y. (2023). Optimization and Use of Cloud Computing in Big Data Science. Computing, Performance and Communication Systems, 7(1), 119-124.
Lin, Y. (2023). Construction of Computer Network Security System in the Era of Big Data. Advances in Computer and Communication, 4(3).
Wang, C., Sun, L., Wei, J., & Mo, X. (2012). A new trojan horse detection method based on negative selection algorithm. In Proceedings of 2012 IEEE International Conference on Oxide Materials for Electronic Engineering (OMEE) (pp. 367-369).
Sun, L. (2024). Securing supply chains in open source ecosystems: Methodologies for determining version numbers of components without package management files. Journal of Computing and Electronic Information Management, 12(1), 32-36.
Shi, Y., Ma, C., Wang, C., Wu, T., & Jiang, X. (2024, May). Harmonizing Emotions: An AI-Driven Sound Therapy System Design for Enhancing Mental Health of Older Adults. In International Conference on Human-Computer Interaction (pp. 439-455). Cham: Springer Nature Switzerland.
Shi, Y., & Economou, A. (2024, July). Dougong Revisited: A Parametric Specification of Chinese Bracket Design in Shape Machine. In International Conference on-Design Computing and Cognition (pp. 233-249). Cham: Springer Nature Switzerland.
Wang, Z., Yan, H., Wang, Y., Xu, Z., Wang, Z., & Wu, Z. (2024). Research on autonomous robots navigation based on reinforcement learning. arXiv preprint arXiv:2407.02539.
Yan, H., Wang, Z., Xu, Z., Wang, Z., Wu, Z., & Lyu, R. (2024). Research on image super-resolution reconstruction mechanism based on convolutional neural network. arXiv preprint arXiv:2407.13211.
Wang, Z., Yan, H., Wei, C., Wang, J., Bo, S., & Xiao, M. (2024). Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning. arXiv preprint arXiv:2408.03084.
Xu, T. (2024). Leveraging Blockchain Empowered Machine Learning Architectures for Advanced Financial Risk Mitigation and Anomaly Detection.
Lin, Y. (2024). Application and Challenges of Computer Networks in Distance Education. Computing, Performance and Communication Systems, 8(1), 17-24.
Lin, Y. (2024). Design of urban road fault detection system based on artificial neural network and deep learning. Frontiers in neuroscience, 18, 1369832.
Sun, L. (2023). A New Perspective on Cybersecurity Protection: Research on DNS Security Detection Based on Threat Intelligence and Data Statistical Analysis. Computer Life, 11(3), 35-39.
Guan, B., Cao, J., Huang, B., Wang, Z., Wang, X., & Wang, Z. (2024). Integrated method of deep learning and large language model in speech recognition.
Yang, J. (2024). Data-Driven Investment Strategies in International Real Estate Markets: A Predictive Analytics Approach. International Journal of Computer Science and Information Technology, 3(1), 247-258.