activity
20172023
most citedActive RIS-aided EH-NOMA Networks: A Deep Reinforcement Learning Approach

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 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.IT2022

Outage Performance of Uplink Rate Splitting Multiple Access with Randomly Deployed Users

Huabing Lu, Xianzhong Xie, Zhaoyuan Shi +3

With the rapid proliferation of smart devices in wireless networks, more powerful technologies are expected to fulfill the network requirements of high throughput, massive connecti…

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…

cs.IT2020

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…

cs.IT2017

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…