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

no code implementations • 15 Aug 2022 • Alice Faisal, Ibrahim Al-Nahhal, Octavia A. Dobre, Telex M. N. Ngatched

It is further shown that the proposed algorithm significantly improves the sum-rate compared to the non-optimized scenario in both single and distributed RIS deployment schemes.

reinforcement-learning Reinforcement Learning (RL)

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

no code implementations • 10 Oct 2021 • Alice Faisal, Ibrahim Al-Nahhal, Octavia A. Dobre, Telex M. N. Ngatched

The complexity analysis and Monte Carlo simulations illustrate that the proposed DRL algorithm significantly improves the rate compared to the non-optimized scenario in both HD and FD operating modes using a single parameter setting.

reinforcement-learning Reinforcement Learning (RL)

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

no code implementations • 11 Jun 2020 • Rawan Alghamdi, Reem Alhadrami, Dalia Alhothali, Heba Almorad, Alice Faisal, Sara Helal, Rahaf Shalabi, Rawan Asfour, Noofa Hammad, Asmaa Shams, Nasir Saeed, Hayssam Dahrouj, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini

This paper provides a unique blend that surveys the principles of operation of LIS, together with their optimization and performance analysis frameworks.

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

no code implementations • 28 Feb 2019 • Alice Faisal, Hadi Sarieddeen, Hayssam Dahrouj, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini

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-generation (6G) of wireless communications.