Resource Management for Multiplexing eMBB and URLLC Services Over RIS-Aided THz Communication
Integrating the multitude of emerging internet of things (IoT) applications with diverse requirements in beyond fifth generation (B5G) networks necessitates the coexistence […]
SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks
Federated learning (FL) is a key enabler for efficient communication and computing, leveraging devices’ distributed computing capabilities. However, applying FL in practice […]
SlimFL
Federated learning (FL) is a key enabler for efficient communication and computing, leveraging devices’ distributed computing capabilities. However, applying FL in practice […]
Joint Design of Phase Shift and Transceiver Beamforming for Intelligent Reflecting Surface Assisted Millimeter-Wave High-Speed Railway Communications
With the emerging demands of new communication services, the contradiction between capacity demand and spectrum shortage of railway communication systems becomes more […]
Deep Reinforcement Learning for Practical Phase-Shift Optimization in RIS-Aided MISO URLLC Systems
We study the joint active/passive beamforming and channel blocklength (CBL) allocation in a nonideal reconfigurable intelligent surface (RIS)-aided ultrareliable and low-latency communication […]
Permutation Matrix Modulation
We propose a novel scheme that allows MIMO system to modulate a set of permutation matrices to send more information bits, extending […]
Optimal Traffic Load Allocation for Aloha-Based IoT LEO Constellations
The deployment of satellite networks is key to providing global wireless connectivity for the Internet of Things (IoT). In this line, we […]
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 […]
Fighting Pandemics With Augmented Reality and Smart Sensing-Based Social Distancing
In a postpandemic world, remaining vigilant and maintaining social distancing are still crucial so societies can contain the virus and the public […]
Context-driven encrypted multimedia traffic classification on mobile devices
The Internet has been experiencing immense growth in multimedia traffic from mobile devices. The increase in traffic presents many challenges to user-centric […]