Energy efficient AP selection for cell-free massive MIMO systems: Deep reinforcement learning approach
The problem of access point (AP) to device association in a cell-free massive multiple-input
multiple-output (MIMO) system is investigated. Utilizing energy efficiency (EE) as our main …
multiple-output (MIMO) system is investigated. Utilizing energy efficiency (EE) as our main …
SWIPT-enabled Cell-Free Massive MIMO-NOMA Networks: A Machine Learning-based Approach
This paper investigates simultaneous wireless information and power transfer (SWIPT)-
enabled cell-free massive multiple-input multiple-output (CF-mMIMO) networks with power …
enabled cell-free massive multiple-input multiple-output (CF-mMIMO) networks with power …
Next-Generation Multiple Access With Cell-Free Massive MIMO
To meet the unprecedented mobile traffic demands of future wireless networks, a paradigm
shift from conventional cellular networks to distributed communication systems is imperative …
shift from conventional cellular networks to distributed communication systems is imperative …
Cell-free networking for integrated data and energy transfer: Digital twin based double parameterized dqn for energy sustainability
Cell-free networking enables full cooperation among distributed access points (APs). This
paper focuses on reducing the long-term energy consumption of a cell-free network in the …
paper focuses on reducing the long-term energy consumption of a cell-free network in the …
From 5G to 6G Networks, a Survey on AI-Based Jamming and Interference Detection and Mitigation
Fifth-generation and Beyond (5GB) networks are transformational technologies to
revolutionize future wireless communications in terms of massive connectivity, higher …
revolutionize future wireless communications in terms of massive connectivity, higher …
Intelligent vehicle decision-making and trajectory planning method based on deep reinforcement learning in the Frenet space
J Wang, L Chu, Y Zhang, Y Mao, C Guo - Sensors, 2023 - mdpi.com
The complexity inherent in navigating intricate traffic environments poses substantial hurdles
for intelligent driving technology. The continual progress in mapping and sensor …
for intelligent driving technology. The continual progress in mapping and sensor …
Attention-Aided Autoencoder-Based Channel Prediction for Intelligent Reflecting Surface-Assisted Millimeter-Wave Communications
HY Chen, MH Wu, TW Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Sixth-generation (6G) wireless communication networks will provide larger coverage and
capacity with lower energy consumption and hardware costs than 5G. Intelligent reflecting …
capacity with lower energy consumption and hardware costs than 5G. Intelligent reflecting …
Design and Performance Analyses of V-OFDM Integrated Signal for Cell-Free Massive MIMO Joint Communication and Radar System
Y Cao, QY Yu - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
Cell-free massive multiple-input–multiple-output (MIMO) network is appealing since the
distributed architecture provides spatial diversity to reduce the large-scale fading effect …
distributed architecture provides spatial diversity to reduce the large-scale fading effect …
Resource Allocation in THz-NOMA-Enabled HAP Systems: A Deep Reinforcement Learning Approach
Aerial access networks have been considered as a key-enabling concept for addressing
emerging challenges of future 6G wireless networks. In this paper, we focus on using the …
emerging challenges of future 6G wireless networks. In this paper, we focus on using the …
Low-Complexity Beamforming Design for a Cooperative Reconfigurable Intelligent Surface-Aided Cell-Free Network
Cell-free (CF) networks are proposed to suppress the interference among collocated cells by
deploying several BSs without cell boundaries. Nevertheless, as installing several base …
deploying several BSs without cell boundaries. Nevertheless, as installing several base …