Applying Machine Learning to mitigate RF impairments in wireless communications systems
Abstract In traditional wireless communications systems, multiple complex digital signal processing blocks are designed to combat the imperfect radio frequency front-end components. However, due to Part-to-part, Voltage, and Temperature variation, an algorithm working well on one device may not work well on the others. Also, it is not efficient as each block needs to regularly
Designing 6G Wireless Communication Networks
Abstract In the current wireless communication system, propagation environment is randomly varying and independent to both base stations and user devices. There might be a period the propagation environment experiences a deep fading and thus the quality of service for one or multiple users is unacceptable. A promising technology for the sixth-generation wireless communication is
Vacuum Packaged Low-Power Resonant MEMS Strain Sensor
Abstract This paper describes a technical approach toward the realization of a low-power temperature- ompensated micromachined resonant strain sensor. The sensor design is based on two identical and orthogonally-oriented resonators where the differential frequency is utilized to provide an output proportional to the applied strain with temperature compensation achieved to first order. Interface circuits comprising