Multi-agent DRL-based resource allocation in downlink multi-cell OFDMA system
J Hu, X Wang, D Li, Y Xu - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
In this paper, we study the joint problem of subchannel assignment and power allocation to
improve the wireless resources utilization rate in a multi-user OFDMA system. Compared …
improve the wireless resources utilization rate in a multi-user OFDMA system. Compared …
Deep transfer reinforcement learning for beamforming and resource allocation in multi-cell MISO-OFDMA systems
X Wang, G Sun, Y Xin, T Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Orthogonal frequency division multiple access (OFDMA) is one of the promising
technologies to satisfy the huge access demand and high data-rate requirement of the fifth …
technologies to satisfy the huge access demand and high data-rate requirement of the fifth …
Optimization of resource allocation in multi-cell OFDM systems: A distributed reinforcement learning approach
In this paper, the problem of joint subcarrier and power allocation is studied for multi-cell
orthogonal frequency-division multiplexing (OFDM) systems. This joint subcarrier and power …
orthogonal frequency-division multiplexing (OFDM) systems. This joint subcarrier and power …
Multi-agent reinforcement learning based joint uplink–downlink subcarrier assignment and power allocation for D2D underlay networks
This paper investigates the joint uplink–downlink resource allocation in time-varying device-
to-device (D2D) underlay wireless cellular networks. Specifically, we formulate the joint …
to-device (D2D) underlay wireless cellular networks. Specifically, we formulate the joint …
Deep reinforcement learning-assisted optimization for resource allocation in downlink OFDMA cooperative systems
MK Tefera, S Zhang, Z Jin - Entropy, 2023 - mdpi.com
This paper considers a downlink resource-allocation problem in distributed interference
orthogonal frequency-division multiple access (OFDMA) systems under maximal power …
orthogonal frequency-division multiple access (OFDMA) systems under maximal power …
Deep multi-agent reinforcement learning for resource allocation in D2D communication underlaying cellular networks
X Zhang, Z Lin, B Ding, B Gu… - 2020 21st Asia-Pacific …, 2020 - ieeexplore.ieee.org
Device-to-device communications underlaying cellular networks have been recognized as
one of the key technologies for the fifth generation (5G) cellular system to improve the …
one of the key technologies for the fifth generation (5G) cellular system to improve the …
Joint Optimization of Bandwidth and Power Allocation in Uplink Systems with Deep Reinforcement Learning
Wireless resource utilizations are the focus of future communication, which are used
constantly to alleviate the communication quality problem caused by the explosive …
constantly to alleviate the communication quality problem caused by the explosive …
Optimal resource allocation via machine learning in coordinated downlink multi-cell OFDM networks under high mobility
Y Guo, FC Zheng, J Luo, X Wang - 2021 IEEE 93rd Vehicular …, 2021 - ieeexplore.ieee.org
For a multi-cell OFDM downlink network, a basic problem is to perform resource allocation to
maximize the spectral efficiency (SE). Doppler shift, however, leads to a loss of subcarrier …
maximize the spectral efficiency (SE). Doppler shift, however, leads to a loss of subcarrier …
Multi-objective resource allocation based on deep reinforcement learning in hetnets
X Zhao, Y Cao, H Chen, Z Huang… - 2022 IEEE 8th …, 2022 - ieeexplore.ieee.org
Considering a two-tier HetNet adopting orthogonal frequency division multiple access
(OFDMA) in downlink, we propose a multi-agent deep reinforcement learning (MA-DRL) …
(OFDMA) in downlink, we propose a multi-agent deep reinforcement learning (MA-DRL) …
Intelligent resource allocation for IRS-enhanced OFDM communication systems: A hybrid deep reinforcement learning approach
Orthogonal frequency division multiplexing (OFDM) systems have been widely applied in
practice since OFDM has diverse outstanding advantages. However, their performance …
practice since OFDM has diverse outstanding advantages. However, their performance …