Z Ji, Z Qin - ICC 2022-IEEE International Conference on …, 2022 - ieeexplore.ieee.org
In cellular networks, resource allocation is performed in a centralized way, which brings huge computation complexity to the base station (BS) and high transmission overhead. This …
In this paper we introduce federated learning (FL) based resource allocation (RA) for wireless communication networks, where users cooperatively train a RA policy in a …
A Kopic, E Perenda, H Gacanin - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Despite the success of Deep Reinforcement Learning (DRL) in radio-resource management within multi-cell wireless networks, applying it to power allocation in ultra-dense 5G and …
J Chen, J Zhang, N Zhao, Y Pei… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Federated Learning (FL) enables large-scale machine learning without uploading the private data of wireless devices. Due to the heterogeneity and limitation of the devices' …
M Sun, E Mei, S Wang, Y Jin - Ieee Access, 2023 - ieeexplore.ieee.org
In order to solve the resource allocation problem in scenarios of centralized wireless cellular communication with multiple cells, users and channels, a novel resource allocation …
X Tu, K Zhu - GLOBECOM 2022-2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Over-the-air federated learning (AirFL) has developed as a communication-efficient solution to enable distributed machine learning over edge devices by integrating computation and …
M Yan, B Chen, G Feng, S Qin - IEEE Access, 2020 - ieeexplore.ieee.org
Emerging mobile edge techniques and applications such as Augmented Reality (AR)/Virtual Reality (VR), Internet of Things (IoT), and vehicle networking, result in an explosive growth of …
This paper investigates the problem of distributed resource management in two-tier heterogeneous networks, where each cell selects its joint device association, spectrum …
YS Nasir, D Guo - IEEE Journal on selected areas in …, 2019 - ieeexplore.ieee.org
This work demonstrates the potential of deep reinforcement learning techniques for transmit power control in wireless networks. Existing techniques typically find near-optimal power …