no code implementations • 29 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.
no code implementations • 25 Jan 2024 • Xi Song, Lu Yuan, Zhibo Qu, Fuhui Zhou, Qihui Wu, Tony Q. S. Quek, Rose Qingyang Hu
Unmanned aerial vehicles (UAVs) are widely used for object detection.
no code implementations • 25 Dec 2023 • Yian Zhu, Ziye Jia, Qihui Wu, Chao Dong, Zirui Zhuang, Huiling Hu, Qi Cai
Therefore, we employ the ADS-B for UAV trajectory tracking in this work.
no code implementations • 21 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.
no code implementations • 22 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.
no code implementations • 14 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.
no code implementations • 4 Aug 2023 • Rui Ding, Fuhui Zhou, Yuben Qu, Chao Dong, Qihui Wu, Tony Q. S. Quek
Unmanned aerial vehicle (UAV) communication is of crucial importance for diverse practical applications.
no code implementations • 4 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.
no code implementations • 15 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.
no code implementations • 8 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.
no code implementations • 25 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.
no code implementations • 13 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.
no code implementations • 1 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.
no code implementations • 16 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.
no code implementations • 30 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.
no code implementations • 24 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.
no code implementations • 8 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.
no code implementations • 24 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.
no code implementations • 15 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.
no code implementations • 26 Oct 2021 • Tianxu Li, Kun Zhu, Nguyen Cong Luong, Dusit Niyato, Qihui Wu, Yang Zhang, Bing Chen
Then, we review a number of applications of MARL to solve emerging issues in future Internet.
no code implementations • 23 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.
1 code implementation • 30 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.
no code implementations • 1 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.
no code implementations • 31 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.
no code implementations • 6 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.
no code implementations • 26 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
no code implementations • 11 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.
no code implementations • 23 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.
no code implementations • 11 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.