Latest Publications
Machine-Learning-Based Cognitive Spectrum Assignment for 5G URLLC Applications
Abstract:
As one of the main scenarios in 5G mobile networks, ultra-reliable low-latency communication (URLLC) can satisfy the stringent requirements of many emerging applications. To ensure end-to-end secure delivery of critical data, 5G URLLC needs an efficient hybrid access scheme for […]
Optimized Flow Assignment in a Multi-Interface IoT Gateway
Abstract:
The last few years have witnessed a significant increase in the deployment of heterogeneous Internet of Things (IoT) networks. IoT devices send data with different requirements such as tolerated delay and data rates. Emerging multi-interface IoT devices bring the flexibility […]
Embedding Multiple-Step-Ahead Traffic Prediction in Network Energy Efficiency Problem
Abstract:
Adaptive Link Rate (ALR) is widely used to save energy consumption of network by adjusting the link rate according to the carried traffic through a network-level optimization of the flow allocation process. Existing ALR solution is mainly reactive, in which […]
Dynamic QoS-aware Queuing for Heterogeneous Traffic in Smart Home
Abstract:
Smart home gateways have to forward multi-sourced network traffic generated with different distributions and with different quality-of-service (QoS) requirements. The state-of-the-art QoS-aware scheduling methods consider only the conventional priority metrics based on the IP type of service (ToS) field to […]
