Deep Learning-based Spectral Efficiency Maximization in Massive MIMO-NOMA Systems with STAR-RIS. Abstract: This paper studies a deep learning-based framework ...
Feb 7, 2024 · Deep Learning-based Spectral Efficiency Maximization in Massive MIMO-NOMA Systems with STAR-RIS ... To read the full-text of this research, you ...
Abstract—In this paper, we study a deep learning (DL)- based energy efficiency maximization (EEM) problem in massive multiple-input multiple-output ...
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An, "A Deep Learning-Based Spectral Efficiency Maximization in Multiple Users Multiple STAR-RISs Massive MIMO-NOMA Networks", The 14th International ...
The algorithm jointly optimizes the reflection, transmission phase shifts, and precoding matrix of the STAR-RIS based on each user's Quality of Service (QoS).
Nov 21, 2023 · Spectral energy efficiency in massive MIMO systems can be improved under imperfect channel state information (CSI) by deploying a large ...
Jul 10, 2023 · In this work, we investigate the performance of RIS (ei- ther regular or simultaneous transmit and reflect (STAR)) in. URLLC systems with finite ...
Sum Spectral Efficiency Maximization in Massive MIMO Systems
www.semanticscholar.org › paper › Sum...
This paper proposes a new optimization algorithm, inspired by the weighted minimum mean square error approach, to obtain a stationary point in polynomial ...
Missing: NOMA STAR- RIS.
Multi-agent Reinforcement Learning-based Joint Precoding and Phase Shift Optimization for RIS-aided Cell-Free Massive MIMO Systems, Y. Zhu, etal. 141, SNR/CRB ...
We introduce a novel deep reinforcement learning (DRL) approach to jointly optimize transmit beamforming and reconfigurable intelligent surface (RIS) phase ...