Buffer Space Management in Intermittently Connected Internet of Things
The efficient buffer space management in intermittently connected Internet of Things (IC-IoT) is of great importance for data delivery performance guarantee in […]
A Robust Bimodal Index Reflecting Relative Dynamics of EEG and HRV With Application in Monitoring Depth of Anesthesia
Supplemental information captured from HRV can provide deeper insight into nervous system function and consequently improve evaluation of brain function. Therefore, it […]
Low-Voltage Energy Efficient Neural Inference by Leveraging Fault Detection Techniques
Operating at reduced voltages offers substantial energy efficiency improvement but at the expense of increasing the probability of computational errors due to […]
Minimizing Average On-Demand AoI in an IoT Network with Energy Harvesting Sensors
Delivering timely status information of a random process has become increasingly important for time-sensitive applications, e.g., vehicle tracking and environment monitoring. We […]
Channel Estimation and Data Detection Analysis of Massive MIMO with 1-Bit ADCs
We present an analytical framework for the channel estimation and the data detection in massive multiple-input multiple-output uplink systems with 1-bit analog-to-digital […]
Uplink Data Detection Analysis of 1-Bit Quantized Massive MIMO
This paper presents an analytical framework for the data detection in massive multiple-input multiple-output uplink systems with 1-bit analog-to-digital converters (ADCs). Considering […]
Enhanced Signal Detection for Massive SIMO Communications with 1-Bit ADCs
This paper considers a massive single-input single-output (SIMO) system with 1-bit analog-to-digital converters (ADCs) at the base station (BS). In this context, […]
Power Minimization for Age of Information Constrained Dynamic Control in Wireless Sensor Networks
We consider a status update system where multiple sensors communicate timely information about various random processes to a sink. The sensors share […]
High performance piezoelectric composite fabricated at ultra low temperature
This work presents the next leap in piezoelectric all-ceramic composites fabricated at ultra low temperatures. The “Upside-down” composite method is further developed […]
Federated Learning with Correlated Data
While information delivery in industrial Internet of things demands reliability and latency guarantees, the freshness of the controller’s available information, measured by […]