6G Networks and the AI Revolution-Exploring Technologies, Applications, and Emerging Challenges
- PMID: 38544151
- PMCID: PMC10975185
- DOI: 10.3390/s24061888
6G Networks and the AI Revolution-Exploring Technologies, Applications, and Emerging Challenges
Abstract
In the rapidly evolving landscape of wireless communication, each successive generation of networks has achieved significant technological leaps, profoundly transforming the way we connect and interact. From the analog simplicity of 1G to the digital prowess of 5G, the journey of mobile networks has been marked by constant innovation and escalating demands for faster, more reliable, and more efficient communication systems. As 5G becomes a global reality, laying the foundation for an interconnected world, the quest for even more advanced networks leads us to the threshold of the sixth-generation (6G) era. This paper presents a hierarchical exploration of 6G networks, poised at the forefront of the next revolution in wireless technology. This study delves into the technological advancements that underpin the need for 6G, examining its key features, benefits, and key enabling technologies. We dissect the intricacies of cutting-edge innovations like terahertz communication, ultra-massive MIMO, artificial intelligence (AI), machine learning (ML), quantum communication, and reconfigurable intelligent surfaces. Through a meticulous analysis, we evaluate the strengths, weaknesses, and state-of-the-art research in these areas, offering a wider view of the current progress and potential applications of 6G networks. Central to our discussion is the transformative role of AI in shaping the future of 6G networks. By integrating AI and ML, 6G networks are expected to offer unprecedented capabilities, from enhanced mobile broadband to groundbreaking applications in areas like smart cities and autonomous systems. This integration heralds a new era of intelligent, self-optimizing networks that promise to redefine the parameters of connectivity and digital interaction. We also address critical challenges in the deployment of 6G, from technological hurdles to regulatory concerns, providing a holistic assessment of potential barriers. By highlighting the interplay between 6G and AI technologies, this study maps out the current landscape and lights the path forward in this rapidly evolving domain. This paper aims to be a cornerstone resource, providing essential insights, addressing unresolved research questions, and stimulating further investigation into the multifaceted realm of 6G networks. By highlighting the synergy between 6G and AI technologies, we aim to illuminate the path forward in this rapidly evolving field.
Keywords: 5G; 6G; Internet of Things; artificial intelligence; blockchain; machine learning; millimeter waves; quantum communication; terahertz communication; ultra-massive MIMO.
Conflict of interest statement
The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
Figures
Similar articles
-
Artificial Intelligence Applications and Self-Learning 6G Networks for Smart Cities Digital Ecosystems: Taxonomy, Challenges, and Future Directions.Sensors (Basel). 2022 Aug 1;22(15):5750. doi: 10.3390/s22155750. Sensors (Basel). 2022. PMID: 35957307 Free PMC article. Review.
-
Revolution or Evolution? Technical Requirements and Considerations towards 6G Mobile Communications.Sensors (Basel). 2022 Jan 20;22(3):762. doi: 10.3390/s22030762. Sensors (Basel). 2022. PMID: 35161509 Free PMC article. Review.
-
Technology Trends for Massive MIMO towards 6G.Sensors (Basel). 2023 Jun 30;23(13):6062. doi: 10.3390/s23136062. Sensors (Basel). 2023. PMID: 37447911 Free PMC article.
-
Massive MIMO Systems for 5G and Beyond Networks-Overview, Recent Trends, Challenges, and Future Research Direction.Sensors (Basel). 2020 May 12;20(10):2753. doi: 10.3390/s20102753. Sensors (Basel). 2020. PMID: 32408531 Free PMC article. Review.
-
Security Requirements and Challenges of 6G Technologies and Applications.Sensors (Basel). 2022 Mar 2;22(5):1969. doi: 10.3390/s22051969. Sensors (Basel). 2022. PMID: 35271113 Free PMC article. Review.
Cited by
-
Dynamic Bandwidth Slicing in Passive Optical Networks to Empower Federated Learning.Sensors (Basel). 2024 Aug 2;24(15):5000. doi: 10.3390/s24155000. Sensors (Basel). 2024. PMID: 39124047 Free PMC article.
References
-
- IMT Traffic Estimates for the Years 2020 to 2030. International Telecommunication Union (ITU) [(accessed on 25 October 2023)]. Available online: https://www.itu.int/pub/r-rep-m.2370.
-
- Bangerter B., Talwar S., Arefi R., Stewart K. Networks and Devices for the 5G Era. IEEE Commun. Mag. 2014;52:90–96. doi: 10.1109/MCOM.2014.6736748. - DOI
-
- Sinclair M., Maadi S., Zhao Q., Hong J., Ghermandi A., Bailey N. Assessing the Socio-Demographic Representativeness of Mobile Phone Application Data. Appl. Geogr. 2023;158:102997. doi: 10.1016/j.apgeog.2023.102997. - DOI
-
- Huseien G.F., Shah K.W. A Review on 5G Technology for Smart Energy Management and Smart Buildings in Singapore. Energy AI. 2022;7:100116. doi: 10.1016/j.egyai.2021.100116. - DOI
-
- Baier P., Dürr F., Rothermel K. TOMP: Opportunistic Traffic Offloading Using Movement Predictions; Proceedings of the 37th Annual IEEE Conference on Local Computer Networks; Clearwater Beach, FL, USA. 22–25 October 2012; pp. 50–58. - DOI
Publication types
Grants and funding
LinkOut - more resources
Full Text Sources
Research Materials