AIGC Empowering Telecom Sector White Paper_chinese

no code implementations • 21 Jul 2023 • Ye Ouyang, Yaqin Zhang, Xiaozhou Ye, Yunxin Liu, Yong Song, Yang Liu, Sen Bian, Zhiyong Liu

Through the study of GPT, a typical representative of AIGC, the authors have analyzed how GPT empowers the telecom sector in the form of scenarios, discussed the gap between the current GPT general model and telecom services, proposed for the first time a Telco Augmented Cognition capability system, provided answers to how to construct a telecom service GPT in the telecom sector, and carried out various practices.

6G Network Business Support System

no code implementations • 19 Jul 2023 • Ye Ouyang, Yaqin Zhang, Peng Wang, Yunxin Liu, Wen Qiao, Jun Zhu, Yang Liu, Feng Zhang, Shuling Wang, Xidong Wang

6G is the next-generation intelligent and integrated digital information infrastructure, characterized by ubiquitous interconnection, native intelligence, multi-dimensional perception, global coverage, green and low-carbon, native network security, etc.

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments

no code implementations • 13 Mar 2023 • Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Yunxin Liu

Model elastification generates a high-quality search space of model architectures with the guidance of a developer-specified oracle model.

valid

Vertical Federated Learning: Concepts, Advances and Challenges

no code implementations • 23 Nov 2022 • Yang Liu, Yan Kang, Tianyuan Zou, Yanhong Pu, Yuanqin He, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Qiang Yang

Motivated by the rapid growth in VFL research and real-world applications, we provide a comprehensive review of the concept and algorithms of VFL, as well as current advances and challenges in various aspects, including effectiveness, efficiency, and privacy.

Fairness Privacy Preserving +1

Reinforcement Learning in Computing and Network Convergence Orchestration

no code implementations • 22 Sep 2022 • Aidong Yang, Mohan Wu, Boquan Cheng, Xiaozhou Ye, Ye Ouyang

This paper enlightens the RL application on CNC orchestration.

reinforcement-learning Reinforcement Learning (RL) +1

4G 5G Cell-level Multi-indicator Forecasting based on Dense-MLP

no code implementations • 22 Jul 2022 • Jiacheng Yin, Wenwen Li, Xidong Wang, Xiaozhou Ye, Ye Ouyang

With the development of 4G/5G, the rapid growth of traffic has caused a large number of cell indicators to exceed the warning threshold, and network quality has deteriorated.

Reinforcement Learning Assisted Beamforming for Inter-cell Interference Mitigation in 5G Massive MIMO Networks

no code implementations • 27 Jan 2021 • Aidong Yang, Xinlang Yue, Ye Ouyang

Beamforming is an essential technology in the 5G massive multiple-input-multiple-output (MMIMO) communications, which are subject to many impairments due to the nature of wireless transmission channel, i. e. the air.

Q-Learning reinforcement-learning +1

The Next Decade of Telecommunications Artificial Intelligence

no code implementations • 19 Jan 2021 • Ye Ouyang, Lilei Wang, Aidong Yang, Maulik Shah, David Belanger, Tongqing Gao, Leping Wei, Yaqin Zhang

It has been an exciting journey since the mobile communications and artificial intelligence were conceived 37 years and 64 years ago.

Management