Holographic multiple-input multiple-output (HMIMO) systems constitute a promising technology in support of next-generation wireless communications, thus paving the way for a smart programmable radio environment. However, despite their significant potentials, further fundamental issues remain to be addressed, such as the acquisition of accurate channel information. Indeed, the … [Read more...] about Holographic Multiple-Input, Multiple-Output Systems: Their Channel Estimation and Performance
Three-dimensional displays
Slicing-aware aerial networks for integrated sensing and communication
Integration of sensing and communication (ISAC) is pivotal for realizing the full spectrum of 6G networks, where aerial networks composed of unmanned aerial vehicles (UAVs) emerge as significant enhancers by establishing line-of-sight connections and increasing the coverage of terrestrial networks. Although network slicing can cater to diverse ISAC applications, strategies … [Read more...] about Slicing-aware aerial networks for integrated sensing and communication
Taming Aerial Communication with Flight-Assisted Smart Surfaces in the 6G Era
Aerial communication is gradually taking an assertive role within common societal behaviors by means of unmanned aerial vehicles (UAVs), high-altitude platforms (HAPs), and fixed-wing aircrafts (FWAs). Such devices can assist general operations in a diverse set of heterogeneous applications, such as video surveillance, remote delivery, and connectivity provisioning in crowded … [Read more...] about Taming Aerial Communication with Flight-Assisted Smart Surfaces in the 6G Era
Lidar Object Perception Framework for Urban Autonomous Driving: Detection and State Tracking Based on Convolutional Gated Recurrent Unit and Statistical Approach
This article describes the development and implementation of a 3D lidar perception framework to guarantee the precise cognition of the surrounding environment for urban autonomous driving. The proposed framework consists of two different detection modules operating in parallel: a deep learning-based and a geometric model-free cluster-based method. The first module utilizes the … [Read more...] about Lidar Object Perception Framework for Urban Autonomous Driving: Detection and State Tracking Based on Convolutional Gated Recurrent Unit and Statistical Approach
