Data-Driven Predictive Scheduling in Ultra-Reliable Low-Latency Industrial IoT
To date, model-based reliable communication with low latency is of paramount importance for time-critical wireless control systems. In this work, we study […]
Deep learning assisted CSI estimation for joint URLLC and eMBB resource allocation
Multiple-input multiple-output (MIMO) is a key for the fifth generation (5G) and beyond wireless communication systems owing to higher spectrum efficiency, spatial […]
Enabling URLLC for Low-Cost IoT Devices via Diversity Combining Schemes
Supporting Ultra-Reliable Low-Latency Communication (URLLC) in the Internet of Things (IoT) era is challenging due to stringent constraints on latency and reliability […]
Maximum Allowable Transfer Interval Aware Scheduling for Wireless Remote Monitoring
In this paper, we tackle the problem of remote monitoring (e.g., remote factory) in which a number of sensor nodes are transmitting […]
Factory Automation
Ultra-reliable and low-latency communications (URLLC) play a vital role in factory automation. To share the situational awareness data collected from the infrastructure […]
Machine-type wireless communications enablers for beyond 5G
URLLC is a key design aim in 5G and a mandatory prerequisite in the future uncountable number of industrial applications. In this […]
Real-Time Quantile-Based Estimation of Resource Utilization on an FPGA Platform Using HLS
Hardware accelerated modules that can continuously measure/analyze resource (frequency channels, power, etc.) utilization in real-time can help in achieving efficient network control, […]
Enhancing video streaming in vehicular networks via resource slicing
Vehicle-to-everything (V2X) communication is a key enabler that connects vehicles to neighboring vehicles, infrastructure and pedestrians. In the past few years, multimedia […]
Reinforcement Learning Based Scheduling Algorithm for Optimizing Age of Information in Ultra Reliable Low Latency Networks
Age of Information (AoI) measures the freshness of the information at a remote location. AoI reflects the time that is elapsed since […]
Risk-Sensitive Task Fetching and Offloading for Vehicular Edge Computing
This letter studies an ultra-reliable low latency communication problem focusing on a vehicular edge computing network in which vehicles either fetch and […]