activity
20172023
most citedArtificial Intelligence-Enabled Intelligent 6G Networks

598 citations · 1.1k across the 10 of their papers we have counts for

collaborators

10 papers

eess.SP2023★ 1 cited

Active RIS-aided EH-NOMA Networks: A Deep Reinforcement Learning Approach

Zhaoyuan Shi, Huabing Lu, Xianzhong Xie +4

An active reconfigurable intelligent surface (RIS)-aided multi-user downlink communication system is investigated, where non-orthogonal multiple access (NOMA) is employed to improv…

cs.IT2021

Deep Reinforcement Learning Based Multidimensional Resource Management for Energy Harvesting Cognitive NOMA Communications

Zhaoyuan Shi, Xianzhong Xie, Huabing Lu +3

The combination of energy harvesting (EH), cognitive radio (CR), and non-orthogonal multiple access (NOMA) is a promising solution to improve energy efficiency and spectral efficie…

eess.SP2020

Intelligent Reflecting Surface Assisted Anti-Jamming Communications Based on Reinforcement Learning

Helin Yang, Zehui Xiong, Jun Zhao +4

Malicious jamming launched by smart jammer, which attacks legitimate transmissions has been regarded as one of the critical security challenges in wireless communications. Thus, th…

cs.IT2020★ 3 cited

Advanced NOMA Assisted Semi-Grant-Free Transmission Schemes for Randomly Distributed Users

Huabing Lu, Xianzhong Xie, Zhaoyuan Shi +3

Non-orthogonal multiple access (NOMA) assisted semi-grant-free (SGF) transmission has recently received significant research attention due to its outstanding ability of serving gra…

eess.SP2020★ 14 cited

Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management

Helin Yang, Jun Zhao, Zehui Xiong +3

Unmanned aerial vehicles (UAVs) are capable of serving as flying base stations (BSs) for supporting data collection, artificial intelligence (AI) model training, and wireless commu…

eess.SP2020★ 10 cited

Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach

Helin Yang, Zehui Xiong, Jun Zhao +4

Malicious jamming launched by smart jammers can attack legitimate transmissions, which has been regarded as one of the critical security challenges in wireless communications. With…

eess.SP2020★ 518 cited

Deep Reinforcement Learning Based Intelligent Reflecting Surface for Secure Wireless Communications

Helin Yang, Zehui Xiong, Jun Zhao +3

In this paper, we study an intelligent reflecting surface (IRS)-aided wireless secure communication system for physical layer security, where an IRS is deployed to adjust its surfa…

eess.SP2020★ 3 cited

Deep Reinforcement Learning Based Massive Access Management for Ultra-Reliable Low-Latency Communications

Helin Yang, Zehui Xiong, Jun Zhao +3

With the rapid deployment of the Internet of Things (IoT), fifth-generation (5G) and beyond 5G networks are required to support massive access of a huge number of devices over limi…

cs.NI2019★ 598 cited

Artificial Intelligence-Enabled Intelligent 6G Networks

Helin Yang, Arokiaswami Alphones, Zehui Xiong +3

With the rapid development of smart terminals and infrastructures, as well as diversified applications (e.g., virtual and augmented reality, remote surgery and holographic projecti…

cs.IT2017★ 1 cited

Robust Transceiver Design Based on Interference Alignment for Multi-User Multi-Cell MIMO Networks with Channel Uncertainty

Xianzhong Xie, Helin Yang, Athanasios V. Vasilakos

In this paper, we firstly exploit the inter-user interference (IUI) and inter-cell interference (ICI) as useful references to develop a robust transceiver design based on interfere…