no code implementations • 12 Oct 2022 • Yiming Huo, Xiaodai Dong, Nuwan Ferdinand
Furthermore, we propose a distributed RISs framework (DRF) to assist the indoor THz wireless communication to achieve overall energy efficiency.
no code implementations • 31 Mar 2022 • Brosnan Yuen, Yifeng Bie, Duncan Cairns, Geoffrey Harper, Jason Xu, Charles Chang, Xiaodai Dong, Tao Lu
Previous contact tracing systems required the users to perform many manual actions, such as installing smartphone applications, joining wireless networks, or carrying custom user devices.
no code implementations • 29 Nov 2021 • Minh Tu Hoang, Brosnan Yuen, Kai Ren, Ahmed Elmoogy, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy Tarimala
This paper proposes passive WiFi indoor localization.
no code implementations • 22 Apr 2021 • Haizhou Bao, Yiming Huo, Xiaodai Dong, Chuanhe Huang
The fifth-generation (5G) and beyond networks are designed to efficiently utilize the spectrum resources to meet various quality of service (QoS) requirements.
no code implementations • 14 Apr 2021 • Mengan Song, Yiming Huo, Tao Lu, Xiaodai Dong, Zhonghua Liang
As 5G wireless systems and networks are now being globally commercialized and deployed, more diversified application scenarios are emerging, quickly reshaping our societies and paving the road to the beyond 5G (6G) era when terahertz (THz) and unmanned aerial vehicle (UAV) communications may play critical roles.
no code implementations • 17 Mar 2021 • Ahmed Elmoogy, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy
We propose a novel image based localization system using graph neural networks (GNN).
no code implementations • 7 Nov 2020 • Brosnan Yuen, Minh Tu Hoang, Xiaodai Dong, Tao Lu
This article proposes a Universal Activation Function (UAF) that achieves near optimal performance in quantification, classification, and reinforcement learning (RL) problems.
no code implementations • 7 Aug 2020 • Xukai Zhong, Yiming Huo, Xiaodai Dong, Zhonghua Liang
Although there has been quite some prior research on the UAV deployment, no work has studied this problem in a 3 dimensional (3D) setting and taken into account the UAV-BS capacity limit and the quality of service (QoS) requirements of ground users.
no code implementations • 7 Aug 2020 • Xukai Zhong, Yiming Huo, Xiaodai Dong, Zhonghua Liang
Then a deep Q-network (DQN) based method is proposed to adjust the locations of UAVs to maximize the sum data rate of the user equipment (UE).
no code implementations • 13 May 2020 • Minh Tu Hoang, Brosnan Yuen, Kai Ren, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy
This paper proposes a combined network structure between convolutional neural network (CNN) and long-short term memory (LSTM) quantifier for WiFi fingerprinting indoor localization.
no code implementations • 8 Jan 2020 • Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy
In contrast, SSP leverages the information of the previous position to determine the probable location since the user's speed in an indoor environment is bounded and locations near the previous one have higher probability than the other locations.
no code implementations • 6 Aug 2019 • Jun Gao, Luyun Gan, Fabiola Buschendorf, Liao Zhang, Hua Liu, Peixue Li, Xiaodai Dong, Tao Lu
We investigate deep learning based omni intrusion detection system (IDS) for supervisory control and data acquisition (SCADA) networks that are capable of detecting both temporally uncorrelated and correlated attacks.
no code implementations • 27 Mar 2019 • Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy
This paper proposes recurrent neuron networks (RNNs) for a fingerprinting indoor localization using WiFi.