过去一年中添加的文章，按日期排序
DRL-Driven Optimization for Energy Efficiency and Fairness in NOMA-UAV Networks
BI Ghomri, MY Bendimerad… - IEEE Communications …, 2024 - ieeexplore.ieee.org
100 天前 - … of Reinforcement Learning (RL) techniques for solving optimization problems [8]…
trajectory and downlink transmit power. Furthermore, optimizing power allocation factors and …
trajectory and downlink transmit power. Furthermore, optimizing power allocation factors and …
[HTML][HTML] Energy-efficient access point clustering and power allocation in cell-free massive MIMO networks: a hierarchical deep reinforcement learning approach
147 天前 - … Cell-free massive multiple-input multiple-output (CF-mMIMO) has attracted … rates
and energy efficiency (EE). In this paper, we investigate the resource allocation of downlink in …
and energy efficiency (EE). In this paper, we investigate the resource allocation of downlink in …
Machine Learning Empowered Resource Allocation for NOMA Enabled IoT Networks
A Alajmi - 2023 - qmro.qmul.ac.uk
192 天前 - … (RL) for downlink NOMA IoT networks to allocate … the power allocation for
various users in a dynamic and multi-… improve the energy efficiency with the help of semi-centralized …
various users in a dynamic and multi-… improve the energy efficiency with the help of semi-centralized …
DRL-Based Resource Allocation for NOMA-Enabled D2D Communications Underlay Cellular Networks
YJ Jeong, S Yu, JW Lee - IEEE Access, 2023 - ieeexplore.ieee.org
192 天前 - … downlink period, the transmit power allocation needs to be … , we conduct constituent
learning of multiple agents in a … We compare the energy efficiency of RA schemes under …
learning of multiple agents in a … We compare the energy efficiency of RA schemes under …
Power and Rate Allocation for Energy-Efficient Rate-Splitting Multiple Access via Deep Q-Learning
M Diamanti, G Kapsalis, EE Tsiropoulou… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
200 天前 - … In Section III, the multiagent DRL modeling and distributed … the energy efficiency
maximization problem in a downlink … ) approach, based on which the power allocation is …
maximization problem in a downlink … ) approach, based on which the power allocation is …
An Energy-Efficient Downlink Resource Allocation In Cellular IoT H-CRANs
D Grover - 2023 2nd International Conference on Futuristic …, 2023 - ieeexplore.ieee.org
210 天前 - … of subchannel assignments and power allocation in this research. To … multi-agent
reinforcement learning (MADRL) oriented techniques in contrast to traditional single-agent …
reinforcement learning (MADRL) oriented techniques in contrast to traditional single-agent …
Energy-efficient rate-splitting multiple access: A deep reinforcement learning-based framework
M Diamanti, G Kapsalis, EE Tsiropoulou… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
259 天前 - … In Section III, the multiagent DRL modeling and distributed … energy efficiency
maximization is targeted in the downlink … , “Deep reinforcement learning-based power allocation …
maximization is targeted in the downlink … , “Deep reinforcement learning-based power allocation …
Energy and spectrum efficient cell switch-off with channel and power allocation in ultra-dense networks: A deep reinforcement learning approach
Z Rezaei, BS Ghahfarokhi - Computer Networks, 2023 - Elsevier
358 天前 - … the Energy Efficiency (EE) and the Spectrum Efficiency (SE). … , a distributed method
based on a multi-agent Deep Q-… a policy for managing On/Off switching and downlink PCRA …
based on a multi-agent Deep Q-… a policy for managing On/Off switching and downlink PCRA …