Analysis of 5G Communication and Artificial Intelligence Technology Integration Analysis

Analysis of 5G Communication and Artificial Intelligence Technology Integration Analysis

Authors

  • Chao Min Jiangxi Software Vocational and Technical University, 330,000, Nanchang city, Jiangxi Province

DOI:

https://doi.org/10.53469/ijomsr.2025.08(09).05

Keywords:

Artificial intelligence, 5G communication, technology, Fusion, Value

Abstract

With the rapid development of information technology, people's communication methods are constantly improving. As the most popular way of communication, 5G has received widespread attention from all walks of life. In order to meet the rapid economic and cultural needs of human society, wireless communication systems are needed to maintain the personalized needs of emerging networks and equipment. Compared with 3G/4G wireless networks, 5G communication can provide huge increased throughput, reduce network latency, and achieve the maximum range of smart devices. 5G communication technology has the characteristics of large broadband, fast transmission speed, low delay, high security It is currently the most advanced technical means of communication technology. As a new type of technology, artificial intelligence technology integrates 5G communication with artificial intelligence technology. Effective technology complement each other, 5G technology can achieve the leaping development of artificial intelligence, and artificial intelligence technology can also make 5G communication technology more scientific planning. The article discusses the significance of the integration of 5G communication and artificial intelligence technology, and explore its integration strategy and strategy and Path to give full play to the functional advantages of the two and make certain contributions to the development of modern technology in my country.

References

Tu, Tongwei. "SmartFITLab: Intelligent Execution and Validation Platform for 5G Field Interoperability Testing." (2025).

Xie, Minhui, and Boyan Liu. "EvalNet: Sentiment Analysis and Multimodal Data Fusion for Recruitment Interview Processing." (2025).

Zhu, Bingxin. "TaskComm: Task-Oriented Language Agent for Efficient Small Businesses Workflows." (2025).

Zhang, Yuhan. "Learning to Advertise: Reinforcement Learning for Automated Ad Campaign Optimization for Small Businesses." (2025).

Hu, Xiao. "Learning to Animate: Few-Shot Neural Editors for 3D SMEs." (2025).

Tan, C. (2024). The Application and Development Trends of Artificial Intelligence Technology in Automotive Production. Artificial Intelligence Technology Research, 2(5).

Zhuang, R. (2025). Evolutionary Logic and Theoretical Construction of Real Estate Marketing Strategies under Digital Transformation. Economics and Management Innovation, 2(2), 117-124.

Han, X., & Dou, X. (2025). User recommendation method integrating hierarchical graph attention network with multimodal knowledge graph. Frontiers in Neurorobotics, 19, 1587973.

Zhang, Jingbo, et al. "AI-Driven Sales Forecasting in the Gaming Industry: Machine Learning-Based Advertising Market Trend Analysis and Key Feature Mining." (2025).

Yang, Yifan. "Web Front-End Application Performance Improvement Method Based on Component-Based Architecture." International Journal of Engineering Advances 2.2 (2025): 24-30.

Cheng, Ying, et al. "Executive Human Capital Premium and Corporate Stock Price Volatility." Finance Research Letters (2025): 108278.

Xu, Haoran. "UrbanMod: Text-to-3D Modeling for Accelerated City Architecture Planning." Authorea Preprints (2025).

Hsu, Hsin-Ling, et al. "MEDPLAN: A Two-Stage RAG-Based System for Personalized Medical Plan Generation." arXiv preprint arXiv:2503.17900 (2025).

Yuan, Yuping, and Haozhong Xue. "Cross-Media Data Fusion and Intelligent Analytics Framework for Comprehensive Information Extraction and Value Mining." (2025).

Chen, J., Zhang, X., Wu, Y., Ghosh, S., Natarajan, P., Chang, S. F., & Allebach, J. (2022). One-stage object referring with gaze estimation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 5021-5030).

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Published

2025-09-29

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Section

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