123 citations · 321 across the 5 of their papers we have counts for
7 papers
Towards Ubiquitous AI in 6G with Federated Learning
Yong Xiao, Guangming Shi, Marwan Krunz
With 5G cellular systems being actively deployed worldwide, the research community has started to explore novel technological advances for the subsequent generation, i.e., 6G. It i…
A Generative Learning Approach for Spatio-temporal Modeling in Connected Vehicular Network
Rong Xia, Yong Xiao, Yingyu Li +2
Spatio-temporal modeling of wireless access latency is of great importance for connected-vehicular systems. The quality of the molded results rely heavily on the number and quality…
Dynamic Network Slicing for Scalable Fog Computing Systems with Energy Harvesting
Yong Xiao, Marwan Krunz
This paper studies fog computing systems, in which cloud data centers can be supplemented by a large number of fog nodes deployed in a wide geographical area. Each node relies on h…
Distributed Resource Allocation for Network Slicing over Licensed and Unlicensed Bands
Yong Xiao, Mohammed Hirzallah, Marwan Krunz
Network slicing is considered one of the key enabling technologies for 5G due to its ability to customize and "slice" a common resource to support diverse services and verticals.Th…
Distributed Optimization for Energy-efficient Fog Computing in the Tactile Internet
Yong Xiao, Marwan Krunz
Tactile Internet is an emerging concept that focuses on supporting high-fidelity, ultra-responsive, and widely available human-to-machine interactions. To reduce the transmission l…
Multi-operator Network Sharing for Massive IoT
Yong Xiao, Marwan Krunz, Tao Shu
Recent study predicts that by 2020 up to 50 billion IoT devices will be connected to the Internet, straining the capacity of wireless network that has already been overloaded with…