5 papers · 1 filter
Data Augmentation and Attention for massive MIMO-based Indoor Localization in Changing Environments
Luisa Schuhmacher, Hazem Sallouha, Ihsane Gryech +1
The demand for high-precision indoor localization has grown significantly with the rise of smart environments, industrial automation, and location-aware applications. While massive…
Experimental Characterization of ISAC Channel Mapping and Environment Awareness
Zhuangzhuang Cui, Rizqi Hersyandika, Haoqiu Xiong +1
In the context of integrated sensing and communications (ISAC), this paper presents an experimental investigation of the relationship between monostatic sensing and naturally bista…
Machine Learning on the Edge for Sustainable IoT Networks: A Systematic Literature Review
Luisa Schuhmacher, Jimmy Fernandez Landivar, Ihsane Gryech +3
The Internet of Things (IoT) has become integral to modern technology, enhancing daily life and industrial processes through seamless connectivity. However, the rapid expansion of…
Site-Specific and Frequency-Dependent Channel Characterization and MIMO Performance in FR3
Zhuangzhuang Cui, Rudranil Chattopadhyay, Emiel Vanspranghels +1
Next-generation wireless systems aim to enable on-demand connectivity through dynamic spectrum utilization. Motivated by this vision, this paper investigates the propagation charac…
Evaluation of 3D Terrestrial and Aerial Spectrum Sharing with Massive MIMO Systems
Achiel Colpaert, Zhuangzhuang Cui, Sofie Pollin
Connecting aerial and terrestrial users with a single base station (BS) is increasingly challenging due to the rising number of aerial users like unmanned aerial vehicles (UAVs). T…