This work proposes a provably convergent and low complexity optimization algorithm for the maximization of the secrecy energy efficiency in the uplink of a wireless network aided by a Reconfigurable Intelligent Surface (RIS), in the presence of an eavesdropper. The mobil users' transmit powers and the RIS reflection coefficients are optimized. Numerical results show the performance of the proposed methods and compare the use of active and nearly-passive RISs from an energy-efficient perspective.
@article{arxiv.2406.06983,
title = {Secrecy Energy Efficiency Maximization in RIS-Aided Wireless Networks},
author = {Robert Kuku Fotock and Alessio Zappone and Marco Di Renzo},
journal= {arXiv preprint arXiv:2406.06983},
year = {2024}
}
Comments
Comments: 6 pages, 4 figures, presented at IEEE ICC 2024, Denver, CO, USA