A survey of deep learning architectures for intelligent reflecting surfaces

AM Elbir, KV Mishra - arXiv preprint arXiv:2009.02540, 2020 - arxiv.org
Intelligent reflecting surfaces (IRSs) have recently received significant attention for wireless
communications because it reduces the hardware complexity, physical size, weight, and …

Going Beyond a Simple RIS: Trends and Techniques Paving the Path of Future RIS

K Shafique, M Alhassoun - IEEE Open Journal of Antennas …, 2024 - ieeexplore.ieee.org
To have uninterrupted wireless connectivity, higher throughput, and latency rate down to
nanoseconds; future networks will rely heavily on higher frequency bands, yet these signals …

Joint user and data detection in grant-free NOMA with attention-based BiLSTM network

S Khan, S Durrani, MB Shahab… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
We consider the multi-user detection (MUD) problem in uplink grant-free non-orthogonal
multiple access (NOMA), where the access point has to identify the total number and correct …

Machine learning for metasurfaces design and their applications

K Vijay Mishra, AM Elbir… - … Empowered by Artificial …, 2023 - Wiley Online Library
Metasurfaces are increasingly emerging as enabling technologies to meet the demands for
multi‐functional, small form‐factor, efficient, reconfigurable, tunable, and low‐cost radio …

Channel Estimation in Wideband OFDM Systems with Large Array of Intelligent Reflectible Surfaces

B Kong, F Li, Q Zhong, J Feng… - … Conference on Intelligent …, 2023 - ieeexplore.ieee.org
Existing Intelligent Reflectible Surface (IRS)-assisted communication systems in which only
angular and delay parameters are taken into account for channel modeling array response …