Research Projects

Interference mitigation, performance, and simulation tool for beam-steering visible light communications networks

Visible light communications (VLC) is considered as the advanced technology for providing indoor communications services in the future. Because VLC access points (VLC-AP) have small coverage, a VLC network needs to deploy multi VLC-APs for providing communications services in large indoor areas. In this project, we have investigated interference mitigation methods of adjacent lightbeams and handover solutions for maintaining connections when users move between VLC-APs. We have designed a method for calculating the necessary number of VLC-APs and their locations for minimizing the interference between adjacent VLC-APs. We have proposed a light-beam allocation algorithm for mitigating interference and a cooperative transmission based handover solution for maintaining the connectivity of mobile data transmission

Selected Publications

Cong-Nam Tran, Nam-Hoang Nguyen, Trong-Minh Hoang. Lightbeam Configuration Method and Interference Elimination Resource Scheduling for Indoor Multibeam VLC Networks. Journal of Optical Communications, 2019.

Tran Cong Nam, Nguyen Nam Hoang, and Hoang Trong Minh. Proactive link handover deploying coordinated transmission for indoor visible light communications (VLC) networks. Journal of Optical Communications, 2020.

Other Information
PI: Assoc.Prof. Nguyen Nam Hoang

SAME CATEGORY

EEG signal processing from the computer vision perspective

In this work, we study the processing of EEG signals in the image domain, i.e., visualizing the signal in the binary image and applying computer vision techniques for signal smoothing and classification. Some research questions are being investigated: 1. How well can we smooth the signal in the image domain? Here, we plot the interested […]

Vision-based crack detection with crack propagation modeling

In this work, the propagation of cracks on some materials, such as concrete, is analyzed, the best-fit model of which is employed for vision-based crack detection. Some research questions are being investigated: 1. What is the correlation between simulated crack propagation and real-world crack? Here, we measure the fitting errors between best-fit regression models of […]

Machine learning based beacon placement optimization for indoor robots localization

Indoor localization systems usually consist of transceiver with fixed positions, which are called beacons. These beacons act as landmarks for localizing objects that need to be positioned. One can easily see that the positions of beacons have a great impact on the performance of the localization system. The problem of beacon placement optimization is to […]