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Architectures, Opportunities, and Challenges in Emerging Technologies of 6G
  • Krishna Jadhav D
Krishna Jadhav D
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Abstract

The 6G era is expected to bring a new level of advancement to communication networks with the development of technologies such as mobile-edge-computing, AI-at-the-edge, CML, MCL, and distributed and federated AI. These technologies aim to provide high-speed, low-latency, and reliable connectivity to meet the growing demand for advanced communication solutions. Mobile-edge computing and AI at the edge will play a key role in reducing latency and improving the efficiency of 6G networks by enabling data processing at the network’s edge. CML and MCL will integrate ML into communication networks, improving their performance and reliability. Distributed and federated AI will revolutionize how data is processed and shared, allowing organizations to pool their resources and expertise to develop more accurate and efficient ML models. However, these exciting opportunities also come with challenges, such as ensuring the reliability and security of AI algorithms, developing new standards and protocols to support the complex networks and use cases of 6G, and making the technology accessible and affordable for all users. Despite these challenges, the growth of the digital economy and the increasing demand for advanced communication technologies will continue to drive the development of 6G technologies, leading to the creation of more efficient, secure, and reliable communication networks. In conclusion, 6G is set to bring a new level of innovation to the field of communication networks, enabling a more connected, efficient, and secure world.