AoA-Based Pilot Assignment in Massive MIMO Systems Using Deep Reinforcement Learning

no code implementations • 25 Mar 2021 • Yasaman Omid, Seyed MohammadReza Hosseini, Seyyed MohammadMahdi Shahabi, Mohammad Shikh-Bahaei, Arumugam Nallanathan

Numerical results illustrate that the DRL-based scheme is able to track the changes in the environment, learn the near-optimal pilot assignment, and achieve a close performance to that of the optimum pilot assignment performed by exhaustive search, while maintaining a low computational complexity.

reinforcement-learning Reinforcement Learning (RL)

Low-Complexity Robust Beamforming Design for IRS-Aided MISO Systems with Imperfect Channels

no code implementations • 24 Aug 2020 • Yasaman Omid, Seyyed MohammadMahdi Shahabi, Cunhua Pan, Yansha Deng, Arumugam Nallanathan

In this paper, large-scale intelligent reflecting sur-face (IRS)-assisted multiple-input single-output (MISO) system is considered in the presence of channel uncertainty.