TY - CHAP
T1 - Intelligent Reflecting Surface Optimization for MIMO Communication Using Deep Reinforcement Learning
AU - Ikeagu, Kenneth
AU - Ding, Yuan
AU - Song, Chaoyun
AU - Khandaker, Muhammad R. A.
N1 - Funding Information:
This work was supported by the School PhD scholarship from Heriot-Watt University and by the Engineering and Physical Sciences Research Council (EPSRC), UK, under Grant number EP/V002635/1.
Publisher Copyright:
© 2023 IEEE.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - This paper focuses on the optimization of the phase shifts of an intelligent reflecting surface (IRS) for an IRS-aided multiple input multiple output (MIMO) communication system. Motivated by the massive success of deep reinforcement learning (DRL) algorithms in handling high-dimensional continuous action spaces and tackling non-convex optimization problems, we propose a deep deterministic policy gradient (DDPG) framework for solving the formulated non-convex optimization problem. Numerical simulations demonstrate the robustness and efficiency of the proposed model in terms of spectral efficiency and algorithm run time when compared to a state-of-the-art scheme.
AB - This paper focuses on the optimization of the phase shifts of an intelligent reflecting surface (IRS) for an IRS-aided multiple input multiple output (MIMO) communication system. Motivated by the massive success of deep reinforcement learning (DRL) algorithms in handling high-dimensional continuous action spaces and tackling non-convex optimization problems, we propose a deep deterministic policy gradient (DDPG) framework for solving the formulated non-convex optimization problem. Numerical simulations demonstrate the robustness and efficiency of the proposed model in terms of spectral efficiency and algorithm run time when compared to a state-of-the-art scheme.
UR - http://www.scopus.com/inward/record.url?scp=85183471329&partnerID=8YFLogxK
U2 - 10.1109/TELFOR59449.2023.10372753
DO - 10.1109/TELFOR59449.2023.10372753
M3 - Chapter
SN - 9798350303148
T3 - 2023 31st Telecommunications Forum, TELFOR 2023 - Proceedings
BT - 2023 31st Telecommunications Forum, TELFOR 2023 - Proceedings
PB - IEEE
T2 - 2023 31st Telecommunications Forum (TELFOR)
Y2 - 21 November 2023 through 22 November 2023
ER -