Intelligent Edge
In this work, we propose a new deep imitation learning (DIL)-driven edge-cloud computation offloading framework for MEC networks. A key objective for […]
Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications
In this paper, the problem of joint power and resource allocation (JPRA) for ultra-reliable low-latency communication (URLLC) in vehicular networks is studied. […]
Fixed rate statistical QoS provisioning for Markovian sources in machine type communication
In this paper, we study the trade-off between reliability and latency in machine type communication (MTC), which consists of single transmitter and […]
Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications
This paper targets at the problem of radio resource management for expected long-term delay-power tradeoff in vehicular communications. At each decision epoch, […]
Wireless Communications and Control for Swarms of Cellular-Connected UAVs
By using wireless connectivity through cellular base stations (BSs), swarms of unmanned aerial vehicles (UAVs) can provide a plethora of services ranging […]
Performance of a Full-Duplex System in Non-Linear and Time-Varying Self-Interference Channel
The main challenge in full-duplex transceiver design is the self-interference (SI). Analog SI isolation is performed at radio frequency (RF) signal by […]