activity
20192025
most citedDeep Reinforcement Learning for RIS-Assisted FD Systems: Single or Distributed RIS?

40 citations · 92 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2025★ 13 cited

Conditional Generative Adversarial Networks for Channel Estimation in RIS-Assisted ISAC Systems

Alice Faisal, Ibrahim Al-Nahhal, Kyesan Lee +2

Integrated sensing and communication (ISAC) technology has been explored as a potential advancement for future wireless networks, striving to effectively use spectral resources for…

eess.SP2022★ 40 cited

Deep Reinforcement Learning for RIS-Assisted FD Systems: Single or Distributed RIS?

Alice Faisal, Ibrahim Al-Nahhal, Octavia A. Dobre +1

This paper investigates reconfigurable intelligent surface (RIS)-assisted full-duplex multiple-input single-output wireless system, where the beamforming and RIS phase shifts are o…

eess.SP2021★ 39 cited

Deep Reinforcement Learning for Optimizing RIS-Assisted HD-FD Wireless Systems

Alice Faisal, Ibrahim Al-Nahhal, Octavia A. Dobre +1

This letter investigates the reconfigurable intelligent surface (RIS)-assisted multiple-input single-output (MISO) wireless system, where both half-duplex (HD) and full-duplex (FD)…

eess.SP2020

Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques

Rawan Alghamdi, Reem Alhadrami, Dalia Alhothali +11

This paper surveys the optimization frameworks and performance analysis methods for large intelligent surfaces (LIS), which have been emerging as strong candidates to support the s…

eess.SP2019

Ultra-Massive MIMO Systems at Terahertz Bands: Prospects and Challenges

Alice Faisal, Hadi Sarieddeen, Hayssam Dahrouj +2

Terahertz (THz)-band communications are currently being celebrated as a key technology that could fulfill the increasing demands for wireless data traffic in the upcoming sixth-gen…