Energy-efficient power control and resource allocation based on deep reinforcement learning for D2D communications in cellular networks

S Alenezi, C Luo, G Min - 2021 20th International Conference …, 2021 - ieeexplore.ieee.org
Device-to-Device (D2D) communication has become a promising and new paradigm for
enhancing network performance in cellular networks. D2D communication enables users to …

Resource management based on reinforcement learning for D2D communication in cellular networks

A Saied, D Qiu, M Swessi - 2020 International Symposium on …, 2020 - ieeexplore.ieee.org
Recently, the integration of Device-to-Device (D2D) communication to cellular networks
became a vitality task with the growth of mobile devices, as well as requirements of …

Energy-Efficient D2D Communications Based on Centralised Reinforcement Learning Techniques

S Alenezi, C Luo, G Min - 2021 IEEE 24th International …, 2021 - ieeexplore.ieee.org
Device-to-Device (D2D) communication has emerged as an evolving communication
technology in 5G networks, enabling a pair of user equipment units to communicate without …

A modified LSTM with QoS aware hybrid AVO algorithm to enhance resource allocation in D2D communication

SA Pasha, NMV Mohamad - EURASIP Journal on Wireless …, 2024 - Springer
In communication technologies, device-to-device (D2D) communication is essential for
resource management and power control, which are major research concerns nowadays …

Power control based on multi-agent deep q network for d2d communication

S Gengtian, T Koshimizu, M Saito… - … in Information and …, 2020 - ieeexplore.ieee.org
In device-to-device (D2D) communication under a cell with resource sharing mode the
spectrum resource utilization of the system will be improved. However, if the interference …

Deep reinforcement learning based power allocation for D2D network

Z Bi, W Zhou - 2020 IEEE 91st vehicular technology conference …, 2020 - ieeexplore.ieee.org
In device-to-device (D2D) networks, when D2D communication shares cellular network
spectrum resources, it will cause serious co-channel interference. The problem of solving …

Power optimization in device-to-device communications: A deep reinforcement learning approach with dynamic reward

Z Ji, AK Kiani, Z Qin, R Ahmad - IEEE Wireless …, 2020 - ieeexplore.ieee.org
Device-to-Device (D2D) communication can be used to improve system capacity and energy
efficiency (EE) in cellular networks. One of the critical challenges in D2D communications is …

Distributed DRL-based resource allocation for multicast D2D communications

PY Gong, CH Wang, JP Sheu… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Device-to-device (D2D) communication is one of the promising solutions to improve
spectrum efficiency and alleviate the mobile traffic explosion. However, interference …

Channel selection and power control for D2D communication via online reinforcement learning

Z Sun, MR Nakhai - ICC 2021-IEEE International Conference …, 2021 - ieeexplore.ieee.org
In this paper, we address the problem of Device-to-Device communication (D2D) in the next
generations of cellular networks, where the number of D2D pairs can grow large and, hence …

Multi-agent deep reinforcement learning-based power control and resource allocation for D2D communications

H Xiang, Y Yang, G He, J Huang… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Device-to-device (D2D) communications are envisioned as a critical technology to support
future ubiquitous mobile communications applications. However, the requirements of high …