Search Results for author: Qihui Wu

Found 29 papers, 1 papers with code

KGAMC: A Novel Knowledge Graph Driven Automatic Modulation Classification Scheme

no code implementations29 Feb 2024 Yike Li, Lu Yua, Fuhui Zhou, Qihui Wu, Naofal Al-Dhahir, Kai-Kit Wong

Automatic modulation classification (AMC) is a promising technology to realize intelligent wireless communications in the sixth generation (6G) wireless communication networks.

UAV Swarm Deployment and Trajectory for 3D Area Coverage via Reinforcement Learning

no code implementations21 Sep 2023 Jia He, Ziye Jia, Chao Dong, Junyu Liu, Qihui Wu, Jingxian Liu

Unmanned aerial vehicles (UAVs) are recognized as promising technologies for area coverage due to the flexibility and adaptability.

Q-Learning

A Partially Observable Deep Multi-Agent Active Inference Framework for Resource Allocation in 6G and Beyond Wireless Communications Networks

no code implementations22 Aug 2023 Fuhui Zhou, Rui Ding, Qihui Wu, Derrick Wing Kwan Ng, Kai-Kit Wong, Naofal Al-Dhahir

Simulation results demonstrate that our proposed framework can significantly improve the sum transmission rate of the secondary network compared to various benchmark schemes.

Routing Recovery for UAV Networks with Deliberate Attacks: A Reinforcement Learning based Approach

no code implementations14 Aug 2023 Sijie He, Ziye Jia, Chao Dong, Wei Wang, Yilu Cao, Yang Yang, Qihui Wu

The unmanned aerial vehicle (UAV) network is popular these years due to its various applications.

Impact of UAVs Equipped with ADS-B on the Civil Aviation Monitoring System

no code implementations4 Jul 2023 Yiyang Liao, Lei Zhang, Ziye Jia, Chao Dong, Yifan Zhang, Qihui Wu, Huiling Hu, Bin Wang

However, due to the limited frequency of ADS-B technique, UAVs equipped with ADS-B devices result in the loss of packets to both UAVs and civil aviation.

Blocking Position

Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation

no code implementations15 Mar 2023 Fuhui Zhou, Yihao Li, Ming Xu, Lu Yuan, Qihui Wu, Rose Qingyang Hu, Naofal Al-Dhahir

Extensive simulation results conducted on a public dataset demonstrate that our proposed single-user and multi-user cognitive semantic communication systems are superior to benchmark communication systems in terms of the data compression rate and communication reliability.

Data Compression

In-Situ Calibration of Antenna Arrays for Positioning With 5G Networks

no code implementations8 Mar 2023 Mengguan Pan, Shengheng Liu, Peng Liu, Wangdong Qi, Yongming Huang, Wang Zheng, Qihui Wu, Markus Gardill

Owing to the ubiquity of cellular communication signals, positioning with the fifth generation (5G) signal has emerged as a promising solution in global navigation satellite system-denied areas.

Super-Resolution

Sparse Bayesian Learning-Based 3D Spectrum Environment Map Construction-Sampling Optimization, Scenario-Dependent Dictionary Construction and Sparse Recovery

no code implementations25 Feb 2023 Jie Wang, Qiuming Zhu, Zhipeng Lin, Qihui Wu, Yang Huang, Xuezhao Cai, Weizhi Zhong, Yi Zhao

Then, a maximum and minimum distance (MMD) clustering-based SBL algorithm is proposed to recover the spectrum data at the unsampled positions and construct the whole 3D SEM.

Management

Computation Offloading for Uncertain Marine Tasks by Cooperation of UAVs and Vessels

no code implementations13 Feb 2023 Jiahao You, Ziye Jia, Chao Dong, Lijun He, Yilu Cao, Qihui Wu

Then, we formulate the studied problem into a Markov decision process, aiming to minimize the total execution time and energy cost.

Q-Learning

Recurrent LSTM-based UAV Trajectory Prediction with ADS-B Information

no code implementations1 Sep 2022 Yifan Zhang, Ziye Jia, Chao Dong, Yuntian Liu, Lei Zhang, Qihui Wu

It is noted that the recurrent neural network (RNN) is available for the UAV trajectory prediction, in which the long short-term memory (LSTM) is specialized in dealing with the time-series data.

Time Series Analysis Trajectory Prediction

A Survey on Collaborative DNN Inference for Edge Intelligence

no code implementations16 Jul 2022 Weiqing Ren, Yuben Qu, Chao Dong, Yuqian Jing, Hao Sun, Qihui Wu, Song Guo

With the vigorous development of artificial intelligence (AI), the intelligent applications based on deep neural network (DNN) change people's lifestyles and the production efficiency.

Data-and-Knowledge Dual-Driven Automatic Modulation Recognition for Wireless Communication Networks

no code implementations30 Jun 2022 Rui Ding, Hao Zhang, Fuhui Zhou, Qihui Wu, Zhu Han

In order to tackle these problems, a novel data-and-knowledge dual-driven automatic modulation classification scheme based on radio frequency machine learning is proposed by exploiting the attribute features of different modulations.

Attribute Automatic Modulation Recognition +1

Edge Semantic Cognitive Intelligence for 6G Networks: Novel Theoretical Models, Enabling Framework, and Typical Applications

no code implementations24 May 2022 Peihao Dong, Qihui Wu, Xiaofei Zhang, Guoru Ding

Edge intelligence is anticipated to underlay the pathway to connected intelligence for 6G networks, but the organic confluence of edge computing and artificial intelligence still needs to be carefully treated.

Edge-computing

Cluster Head Detection for Hierarchical UAV Swarm With Graph Self-supervised Learning

no code implementations8 Mar 2022 Zhiyu Mou, Jun Liu, Xiang Yun, Feifei Gao, Qihui Wu

We first propose a graph attention self-supervised learning algorithm (GASSL) to detect the HUAVs of a single UAV cluster, where the GASSL can fit the IFS at the same time.

Clustering Graph Attention +3

Cognitive Semantic Communication Systems Driven by Knowledge Graph

no code implementations24 Feb 2022 Fuhui Zhou, Yihao Li, Xinyuan Zhang, Qihui Wu, Xianfu Lei, Rose Qingyang Hu

Semantic communication is envisioned as a promising technique to break through the Shannon limit.

Data Compression

Graph Neural Network-Based Scheduling for Multi-UAV-Enabled Communications in D2D Networks

no code implementations15 Feb 2022 Pei Li, Lingyi Wang, Wei Wu, Fuhui Zhou, Baoyun Wang, Qihui Wu

In this paper, we propose a novel graph neural networks (GNN) based approach that can map the considered system into a specific graph structure and achieve the optimal solution in a low complexity manner.

Scheduling

Automatic Modulation Classification Using Involution Enabled Residual Networks

no code implementations23 Aug 2021 Hao Zhang, Lu Yuan, Guangyu Wu, Fuhui Zhou, Qihui Wu

Automatic modulation classification (AMC) is of crucial importance for realizing wireless intelligence communications.

Classification

Resilient UAV Swarm Communications with Graph Convolutional Neural Network

1 code implementation30 Jun 2021 Zhiyu Mou, Feifei Gao, Jun Liu, Qihui Wu

Numerical results show that the proposed algorithms can rebuild the communication connectivity of the USNET more quickly than the existing algorithms under both one-off UEDs and general UEDs.

Meta-Learning Trajectory Planning

A Unified Cognitive Learning Framework for Adapting to Dynamic Environment and Tasks

no code implementations1 Jun 2021 Qihui Wu, Tianchen Ruan, Fuhui Zhou, Yang Huang, Fan Xu, Shijin Zhao, Ya Liu, Xuyang Huang

Many machine learning frameworks have been proposed and used in wireless communications for realizing diverse goals.

Self-Learning

A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networks

no code implementations31 May 2021 Hao Zhang, Fuhui Zhou, Qihui Wu, Wei Wu, Rose Qingyang Hu

Moreover, a novel loss function that combines the center loss and the cross entropy loss is exploited to learn both discriminative and separable features in order to further improve the classification performance.

Classification Face Recognition

3D Spectrum Mapping Based on ROI-Driven UAV Deployment

no code implementations6 Aug 2020 Qihui Wu, Feng Shen, Zheng Wang, Guoru Ding

Given the explosive growth of Internet of Things (IoT) devices ranging from the two-dimensional (2D) ground to the three-dimensional (3D) space, it is a necessity to establish a 3D spectrum map to comprehensively present and effectively manage the 3D spatial spectrum resources in smart city infrastructures.

Empowering the Edge Intelligence by Air-Ground Integrated Federated Learning in 6G Networks

no code implementations26 Jul 2020 Yuben Qu, Chao Dong, Jianchao Zheng, Qihui Wu, Yun Shen, Fan Wu, Alagan Anpalagan

Ubiquitous intelligence has been widely recognized as a critical vision of the future sixth generation (6G) networks, which implies the intelligence over the whole network from the core to the edge including end devices.

Networking and Internet Architecture

Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and Challenge

no code implementations11 Oct 2019 Zhiyong Du, Yansha Deng, Weisi Guo, Arumugam Nallanathan, Qihui Wu

To scale learning across geographic areas, a spatial transfer learning scheme is proposed to further promote the learning efficiency of distributed DRL entities by exploiting the traffic demand correlations.

Decision Making Management +3

One-bit LFMCW Radar: Spectrum Analysis and Target Detection

no code implementations23 May 2019 Benzhou Jin, Jiang Zhu, Qihui Wu, Yuhong Zhang, Zhiwei Xu

It is shown that compared to the conventional radar applying linear processing methods, one-bit LFMCW radar has about $1. 3$ dB performance gain when the input signal-to-noise ratios (SNRs) of targets are low.

Dimensionality Reduction Quantization

Cognitive Internet of Things: A New Paradigm beyond Connection

no code implementations11 Mar 2014 Qihui Wu, Guoru Ding, Yuhua Xu, Shuo Feng, Zhiyong Du, Jinlong Wang, Keping Long

Current research on Internet of Things (IoT) mainly focuses on how to enable general objects to see, hear, and smell the physical world for themselves, and make them connected to share the observations.

Decision Making

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