Point of contact
Kinda Khawam, UVSQ, email@example.com
Sub-6 GHz, mmWave, THz, and optical frequency bands: the 6G channel encompasses even wider frequency bands than its predecessor and includes more complex scenarios which poses new challenges to tackle.
First, there is the need for new channel measurements and models, especially for IRS (intelligent reflection surface) based 6G technologies that rely on AI.
Further, AI is essential in wireless channel measurements and modeling by predicting wireless channel properties for unknown scenarios and unknown frequency bands.
However, as 6G channels should cover space-air-ground-sea integrated networks and frequencies up to optical frequency bands, deriving a general 6G channel model framework is an open issue.
A few references
- Wang C X, Huang J, Wang H M, et al. 6G wireless channel measurements and models: trends and challenges. IEEE Veh Technol Mag, 2020. doi: 10.1109/MVT.2020.301843
- Tang W K, Li X, Dai J Y, et al. Wireless communications with programmable metasurface: transceiver design and experimental results. China Commun, 2019, 16: 46–61S.
- Chen, S. Sun, G. Xu, X. Su, Y. Cai, Beam-space multiplexing: practice, theory, and trends, from 4G TD-LTE, 5G, to 6G and Beyond, IEEE Wirel. Commun. 27 (2) (2020) 162–172.