Optimization of resource allocation in multi-cell OFDM systems: A distributed reinforcement learning approach

Y Hu, M Chen, Z Yang, M Chen… - 2020 IEEE 31st Annual …, 2020 - ieeexplore.ieee.org
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 …

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 …

Intelligent resource allocation for IRS-enhanced OFDM communication systems: A hybrid deep reinforcement learning approach

W Wu, F Yang, F Zhou, Q Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Orthogonal frequency division multiplexing (OFDM) systems have been widely applied in
practice since OFDM has diverse outstanding advantages. However, their performance …

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 …

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 …

Resource allocation in OFDMA networks with deep reinforcement learning

J Liu, X Ma, W Han, L Wang - 2020 IEEE 8th International …, 2020 - ieeexplore.ieee.org
In a distributed OFDMA network, wireless channel is divided into multiple time-frequency
resource block for transmission. Because there is no information interaction between nodes …

Deep reinforcement learning based traffic-and channel-aware OFDMA resource allocation

R Balakrishnan, K Sankhe… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Efficient radio resource allocation is a fundamental optimization problem for wireless
networks, and has been widely studied in the past. However, wireless systems are evolving …

[PDF][PDF] A power allocation algorithm based on cooperative game theory in multi-cell OFDM systems

P Wang, J Han, F Liu, Y Liu, J Xu - Journal of Networks, 2011 - Citeseer
A centralized resource allocation algorithm in multi-cell OFDM systems is studied, which
aims at improving the performance of wireless communication systems and enhancing …

Multi-agent reinforcement learning based joint uplink–downlink subcarrier assignment and power allocation for D2D underlay networks

C Kai, X Meng, L Mei, W Huang - Wireless Networks, 2023 - Springer
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 …

Intelligent resource allocations for IRS-assisted OFDM communications: A hybrid MDQN-DDPG approach

W Wu, F Yang, F Zhou, H Hu, Q Wu, RQ Hu - arXiv preprint arXiv …, 2022 - arxiv.org
In this paper, we study the resource allocation problem for an intelligent reflecting surface
(IRS)-assisted OFDM system. The system sum rate maximization framework is formulated by …