Radar–Communication Integration for 6G Massive IoT Services
Haohui Hong, Jingcheng Zhao, Tao Hong, Tao Tang
Abstract
The world is entering a new era with ubiquitous connectivity among billions of humans and machines, i.e., the sixth-generation (6G) massive Internet of Things (IoT). Radar and communication need to be integrated into this system to achieve target detection and massive connectivity. In this work, we first develop a shape-adaptive antenna array composed of multiple subarrays spaced at regular intervals. The shape-adaptive antenna array uses flexible material that enables changes in the physical structure to achieve adaptive gain. Subsequently, we investigate the micromovement of IoT targets, such as the micro-motion characteristics and micro-Doppler effects of rotary-wing drones. The simulation results demonstrate the effectiveness and efficiency of the proposed schemes for detecting unmanned aerial vehicles (UAVs) in an IoT scenario.