Emerging Technologies for 6G Communication System
Authors
I. Kalphana1, *, R. Praveena2, S. Elango3, S. Thulasi4, T. R. Ganesh Babu2, G. Sudha2
1Government College of Engineering, Salem, Tamil Nadu, India
2Muthayammal Engineering College, Salem, Tamil Nadu, India
3Madanapalle Institute of Technology and Science, Angallu, Andhra Pradesh, India
4University College of Engineering, Salem, Tamil Nadu, India
*Corresponding author.
Email: kalphanasenthil@gmail.com
Corresponding Author
I. Kalphana
Available Online 4 October 2024.
- DOI
- 10.2991/978-94-6463-529-4_28How to use a DOI?
- Keywords
- AI; Index Modulation; Reconfigurable Intelligence Surface; Wireless power transfer; PHY security
- Abstract
Over the past few decades, the need for wireless connectivity has increased dramatically. A new Wireless Technology known as 6th generation system developed with full AI support is expected to use between 2027 and 2030. Higher system capacity, much higher data rate, much lower latency, higher security, Network Reliability and accuracy compared to the 5G system are some basic concerns that need to be addressed beyond 5G. This article describes arising technologies which includes Scalable AI, Index Modulation, Reconfigurable Intelligence Surfaces, PHY security, and Wireless Power transfer.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - I. Kalphana AU - R. Praveena AU - S. Elango AU - S. Thulasi AU - T. R. Ganesh Babu AU - G. Sudha PY - 2024 DA - 2024/10/04 TI - Emerging Technologies for 6G Communication System BT - Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023) PB - Atlantis Press SP - 309 EP - 316 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-529-4_28 DO - 10.2991/978-94-6463-529-4_28 ID - Kalphana2024 ER -