[2405.02873] Target Localization with Macro and Micro Base
To this end, this paper introduces a symbol-level fusion method and a grid-based three-dimensional discrete Fourier transform (3D-GDFT) algorithm to achieve precise
smart millimeter-wave base station for 6G application based on
Here, we propose a large-scale 2-bit millimeter-wave programmable metasurface to build an integrated smart base station framework for 6G communications. The meta-array is
LBA 3 Communication Micro BaseStation
High-bandwidth communication, supports star-shaped networking, and AES encryption for security protection. The LBA 3 achieves bidirectional synchronous data transmission,
CN213457363U
Abstract The utility model discloses a three-dimensional radar system of MIMO based on 5G basic station belongs to microwave radar and millimeter wave communication technical field.
3D deployment of UAV-mounted base stations for
Recently, unmanned aerial vehicles (UAVs) have been reported a lot as aerial base stations (BSs) to assist wireless communication in Internet of Things (IoT). However, most
Optimal Slicing of mmWave Micro Base Stations for 5G and
Enhanced Mo-bile BroadBand (eMBB), offers the necessary support for bandwidth-demanding applications like high-definition video, three-dimensional video, cloud-based tasks, and
Design and Implementation of a Compact 3-D Stacked RF
The 3-D RF module integrates four bare dies, one quad flat no-lead packaged chip, and more than 200 passive devices. Considering the electromagnetic isolation requirement,
[2405.02873] Target Localization with Macro and Micro Base Stations
To this end, this paper introduces a symbol-level fusion method and a grid-based three-dimensional discrete Fourier transform (3D-GDFT) algorithm to achieve precise
Target Localization with Macro and Micro Base Stations
To this end, this paper introduces a symbol-level fusion method and a grid-based three-dimensional discrete Fourier transform (3D-GDFT) algorithm to achieve precise localization of
Three-Dimensional Deployment Optimization of UAVs Using
We propose a novel systematic approach for the deployment optimization of unmanned aerial vehicles (UAVs). In this context, this study focuses on enhancing the
Three-dimensional aerial base station location for sudden traffic
In this article, for optimizing the three-dimensional (3D) deployment of aerial-BSs for 5G mmWave networks, a classic deep reinforcement learning (DRL) network which named