面向6G 的生成对抗网络研究进展综述

孟婵媛, 熊轲, 高博, 张煜, 樊平毅 - 物联网学报, 2024 - infocomm-journal.com
人工智能(AI, artificial intelligence) 与通信技术的深度融合是6G 网络的典型特征. 一方面, AI
为6G 网络发展注入了新动力, 能够有效利用网络运行产生的历史数据, 使网络具备自维护 …

Generative adversarial network for wireless communication: Principle, application, and trends

C Zou, F Yang, J Song, Z Han - IEEE Communications …, 2023 - ieeexplore.ieee.org
Generative adversarial network (GAN) has attracted wide attention because of its
remarkable ability to learn highdimensional and complex data distributions based on game …

Generative Adversarial Networks-Based AI/ML Model Adaptive Retraining for Beyond 5G Networks

V Gudepu, B Chirumamilla… - … Wireless 2023; 28th …, 2023 - ieeexplore.ieee.org
Beyond fifth-generation (B5G) networks aim to support high data rates, low-latency
applications, and massive machine communications. Artificial Intelligence (AI) and Machine …

Generation of Synthetic 5G Network Dataset Using Generative Adversarial Network (GAN)

MNA Khatiman, A Abu-Samah… - 2023 IEEE 16th …, 2023 - ieeexplore.ieee.org
While the Fifth Generation (5G) network is actively being deployed in most countries to
create new possibilities for better lifestyle and economic development, it is a technology that …

Ensemble-Based Distributed Learning for Generative Adversarial Networks

C Liu, J Ren, G Yu - 2022 IEEE 95th Vehicular Technology …, 2022 - ieeexplore.ieee.org
The deployment of generative adversarial networks (GANs) in wireless networks faces three
key challenges of limited devices' computational capability, scarce communication …

Network Data Generation using IP2Vec Embedding

M Kim, M Kang, E Park, S Pack… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Network data generation is crucial in applying deep learning techniques for predicting and
managing 5G/6G networks. In this paper, we propose to incorporate IP2Vec in generative …

[PDF][PDF] 生成式对抗网络: 从生成数据到创造智能

王坤峰, 左旺孟, 谭营, 秦涛, 李力, 王飞跃 - 自动化学报, 2018 - aas.net.cn
技术创新是社会经济发展的核心驱动力. 继以物联网, 云计算, 大数据和移动互联网为代表的信息
技术之后, 以深度学习为代表的人工智能技术蓬勃发展, 被公认是社会经济发展的新动能和新 …

[引用][C] Call for Papers─ Feature Topic Vol. 22, No. 3, 2025

Y Wu, D Niyato, S Cui, L Zhao, TQS Quek, Y Zhang… - 2025 - ieeexplore.ieee.org
Generative artificial intelligence (AI), as an emerging paradigm in content generation, has
demonstrated its great potentials in creating high-fidelity data including images, texts, and …

A novel federated learning scheme for generative adversarial networks

J Zhang, L Zhao, K Yu, G Min… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Generative adversarial networks (GANs) have been advancing and gaining tremendous
interests from both academia and industry. With the development of wireless technologies, a …

Generative adversarial learning for machine learning empowered self organizing 5G networks

B Hughes, S Bothe, H Farooq… - … conference on computing …, 2019 - ieeexplore.ieee.org
In the wake of diversity of service requirements and increasing push for extreme efficiency,
adaptability propelled by machine learning (ML) aka self organizing networks (SON) is …