5G new radio in SATCOM
The 3GPP standardization body is actively investigating the requirements and specifying the radio access interface of 5G new radio (NR) systems to support satellite communications. However, the 5G NR was…
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Achieving network slice communication service distribution across 5G micro-operator multi-tenants
…propose a network slice communication service distribution technique for local 5G micro-operator deployment scenarios. This is achieved by expanding/leveraging the communication service management function (CSMF) defined by 3GPP into a…
Spinel-olivine microwave dielectric ceramics with low sintering temperature and high quality factor for 5 GHz wi-fi antennas
…composite microwave dielectric ceramics were synthesized at 900–980 °C using Li2CO3, ZnO and GeO2, which can co-fire with silver electrodes without chemical reaction. These exceptional characteristics enable high-speed signal transmission…
Guidelines for empowering children to make and shape digital technology—case fab lab oulu
…and future technology-rich everyday life. Fab labs (digital fabrication laboratories) are one example of non-formal learning environments where schoolteachers bring children to work with projects on digital technology design and…
Joint Sub-Carrier and Power Allocation for Efficient Communication of Cellular UAVs
Cellular networks are expected to be the main communication infrastructure to support the expanding applications of Unmanned Aerial Vehicles (UAVs). As these networks are deployed to serve ground User Equipment…
BaSrTiO3 ceramic‐polymer composite material lens antennas at 220–330 GHz telecommunication applications
…loss tangent values were 0.008 for ER182, 0.034 for ER182/7%BST and 0.081 for ER182/30%BST. The directivity of ER182 material lens and WR3 waveguide combination was 26 dBi at 300 GHz….
A Low-Complexity Beamforming Design for Multiuser Wireless Energy Transfer
…a set of IoT devices by only relying on the first-order statistics of the channels. In addition to low complexity, the proposed scheme performs favorably as compared to benchmarking schemes…
Low-Complexity Vector Quantized Compressed Sensing via Deep Neural Networks
…the information signals are often continuous-valued, digital communication of compressive measurements requires quantization. In such a quantized compressed sensing (QCS) context, we address remote acquisition of a sparse source through…
Automatic detection of artifacts in EEG by combining deep learning and histogram contour processing
This paper introduces a simple approach combining deep learning and histogram contour processing for automatic detection of various types of artifact contaminating the raw electroencephalogram (EEG). The proposed method considers…
Revealing the Invisible With Model and Data Shrinking for Composite-Database Micro-Expression Recognition
…learning complexity, including input complexity and model complexity, and discover that the lower-resolution input data and shallower-architecture model are helpful to ease the degradation of deep models in composite-database task….