5 papers
Multiconnectivity for SAGIN: Current Trends, Challenges, AI-driven Solutions, and Opportunities
Abd Ullah Khan, Adnan Shahid, Haejoon Jung +1
Space-air-ground-integrated network (SAGIN)-enabled multiconnectivity (MC) is emerging as a key enabler for next-generation networks, enabling users to simultaneously utilize multi…
Bluetooth Low Energy Dataset Using In-Phase and Quadrature Samples for Indoor Localization
Samuel G. Leitch, Qasim Zeeshan Ahmed, Ben Van Herbruggen +5
One significant challenge in research is to collect a large amount of data and learn the underlying relationship between the input and the output variables. This paper outlines the…
High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning
Mostafa Naseri, Eli De Poorter, Ingrid Moerman +2
Co-channel interference cancellation (CCI) is the process used to reduce interference from other signals using the same frequency channel, thereby enhancing the performance of wire…
Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency
Mostafa Naseri, Pooya Ashtari, Mohamed Seif +3
In wireless communications, efficient image transmission must balance reliability, throughput, and latency, especially under dynamic channel conditions. This paper presents an adap…
Error Mitigation for TDoA UWB Indoor Localization using Unsupervised Machine Learning
Phuong Bich Duong, Ben Van Herbruggen, Arne Broering +2
Indoor positioning systems based on Ultra-wideband (UWB) technology are gaining recognition for their ability to provide cm-level localization accuracy. However, these systems ofte…