| Title | DNN aided PSO based-scheme for a Secure Energy Efficiency Maximization in a cooperative NOMA system with a non-linear EH |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Garcia, Carla E., Camana, Mario R., Koo, Insoo |
| Conference Name | 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN) |
| Keywords | Communication system security, composability, compositionality, deep neural network (dnn), Energy efficiency, Neural networks, NOMA, Non-Orthogonal Multiple Access (NOMA), particle swarm optimization (PSO), physical layer security, pubcrawl, quality of service, secrecy energy efficiency (SEE), simulation, swarm intelligence |
| Abstract | Physical layer security is an emerging security area to tackle wireless security communications issues and complement conventional encryption-based techniques. Thus, we propose a novel scheme based on swarm intelligence optimization technique and a deep neural network (DNN) for maximizing the secrecy energy efficiency (SEE) in a cooperative relaying underlay cognitive radio- and non-orthogonal multiple access (NOMA) system with a non-linear energy harvesting user which is exposed to multiple eavesdroppers. Satisfactorily, simulation results show that the proposed particle swarm optimization (PSO)-DNN framework achieves close performance to that of the optimal solutions, with a meaningful reduction in computation complexity. |
| DOI | 10.1109/ICUFN55119.2022.9829600 |
| Citation Key | garcia_dnn_2022 |
DNN aided PSO based-scheme for a Secure Energy Efficiency Maximization in a cooperative NOMA system with a non-linear EH