AI-Powered 6G Networks: Transforming Wireless Communication with Intelligence and Terahertz Waves
From 2027 to 2030, Sixth Generation (6G) wireless communication systems are expected to be launched to revolutionize human and machine interaction with ultra fast data transmission speeds and low, or virtually zero latency communication. In this paper, we investigate the transformative potential of 6G networks enabled by AI, and describe key 6G network technologies, including artificial intelligence (AI), machine learning (ML), and sub miiitter wave technology. In addition to being able to exceed 5G Maximum Throughput (MT), 6G is forecast to enable advanced applications including holographic communications, XR (extended reality), and ubiquitous M2M (machine to machine) interaction. Although significant obstacles remain with respect to security, energy efficiency, and spectrum management. In this paper, 5G development existing gaps are identified, and a comprehensive AI driven framework for resource allocation, latency reduction, and spectrum utilization optimization is proposed for 6G systems. This study further explores the position of edge computing, IoT integration, and AI powered network security protocols. Finally, we demonstrate real world applications, such as smart healthcare, autonomous vehicles, and space communications, discussing privacy and sustainability aspects of 6G technology.
Authors
- Runumi Devi (ORCID: https://orcid.org/0000-0003-4742-1454)
- Jay Singh (ORCID: https://orcid.org/0000-0001-8103-8913)
- Navdeep Singh (ORCID: https://orcid.org/0000-0002-5592-4089)
- B. Rajalakshmi (ORCID: https://orcid.org/0009-0008-3099-2481)
- Nagarjuna Thandra
- Mohammed Wael Mohammed
- Chalasanvi Vidyadhari
Institutions
- Lovely Professional University (IN)
- Galgotias University (IN)
- Iraqi University (IQ)
- Birla Institute of Technology and Science - Hyderabad Campus (IN)
- International Institute of Information Technology, Hyderabad (IN)
Publication Details
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ic363308.2025.10957029
- Citations
- 2
- Primary Topic
- Advanced Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.46