Extreme Value Theory-based Robust Minimum-Power Precoding for URLLC
Channel state information (CSI) is crucial for achieving ultra-reliable low-latency communication (URLLC) in wireless networks. The main associated problems are the CSI […]
Optimized Data Sampling and Energy Consumption in IIoT
Real-time environment monitoring is a key application in Industrial Internet of Things where sensors proactively collect and transmit environmental data to the […]
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 […]
Taming the Tail of Maximal Information Age in Wireless Industrial Networks
In wireless industrial networks, the information of time-sensitive control systems needs to be transmitted in an ultra-reliable and low-latency manner. This letter […]
Federated learning for ultra-reliable low-latency V2V communications
In this paper, a novel joint transmit power and resource allocation approach for enabling ultra-reliable low-latency communication (URLLC) in vehicular networks is […]
Dynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing
To overcome devices’ limitations in performing computation-intense applications, mobile edge computing (MEC) enables users to offload tasks to proximal MEC servers for […]
Ultra-reliable and low-latency vehicular transmission
Considering a Manhattan mobility model in vehicle-to-vehicle networks, this work studies a power minimization problem subject to second-order statistical constraints on latency […]