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 […]
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, […]
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 […]
iMiGUE
We introduce a new dataset for the emotional artificial intelligence research: identity-free video dataset for Micro-Gesture Understanding and Emotion analysis (iMiGUE). Different […]
Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning
Cooperative perception plays a vital role in extending a vehicle’s sensing range beyond its line-of-sight. However, exchanging raw sensory data under limited […]
Edge Intelligence
Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis proximity to where data […]
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 […]
Monitoring Social Distancing in Smart Spaces using Infrastructure-Based Sensors
Social distancing is a critical tool for mitigating disease transmission, particularly in crowded indoor spaces. In this paper, we contribute by assessing […]
A High-Level Approach for Energy Efficiency Improvement of FPGAs by Voltage Trimming
Chip manufacturers define voltage margins on top of the “best-case” operational voltage of their chips to ensure reliable functioning in the worst […]