Point of contact
Kinda Khawam, UVSQ, firstname.lastname@example.org
The ultra-dense future wireless network increases the energy consumption as well as data traffic in 6G. Therefore, energy harvesting is an appealing alternative for energy-efficient massive radio access. Simultaneous wireless information and power transfer (SWIPT) where both information and energy can be extracted from the same received RF signal is a promising research direction.
However, making use of RF interference for energy harvesting is very challenging owing to the trade-off between interference and throughput: high interference limits the throughput, whereas low interference limits the amount of RF energy harvested. Here again, AI is paramount to strike such a compromise.
A few references
- N. Zhao, S. Zhang, F. R. Yu, Y. Chen, A. Nallanathan, and V. C. M. Leung, “Exploiting Interference for Energy Harvesting: A Survey, Research Issues, and Challenges,” IEEE Access, vol. 5, pp. 10 403–10 421, May. 2017.
- W. Lu et al., “SWIPT Cooperative Spectrum Sharing for 6G-Enabled Cognitive IoT Network,” in IEEE Internet of Things Journal 2020.