activity
20182026
most cited3D Multi-Drone-Cell Trajectory Design for Efficient IoT Data Collection

10 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Physics-Informed Digital Twins for Channel Estimation and Traffic Prediction of Non-Terrestrial Networks

Xinyu Huang, Yixiao Zhang, Xue Qin +4

In non-terrestrial networks (NTN), high-speed satellite orbital motion, limited pilot signaling resources, and spatiotemporally heterogeneous traffic make accurate channel and traf…

cs.NI2020★ 1 cited

A Virtual Network Customization Framework for Multicast Services in NFV-enabled Core Networks

Omar Alhussein, Phu Thinh Do, Qiang Ye +7

The paradigm of network function virtualization (NFV) with the support of software defined networking (SDN) emerges as a promising approach for customizing network services in fift…

cs.NI2019

Hierarchical Soft Slicing to Meet Multi-Dimensional QoS Demand in Cache-Enabled Vehicular Networks

Shan Zhang, Hongbin Luo, Junling Li +2

Vehicular networks are expected to support diverse content applications with multi-dimensional quality of service (QoS) requirements, which cannot be realized by the conventional o…

cs.NI2019★ 10 cited

3D Multi-Drone-Cell Trajectory Design for Efficient IoT Data Collection

Weisen Shi, Junling Li, Nan Cheng +5

Drone cell (DC) is an emerging technique to offer flexible and cost-effective wireless connections to collect Internet-of-things (IoT) data in uncovered areas of terrestrial networ…

cs.NI2018★ 3 cited

Air-Ground Integrated Vehicular Network Slicing with Content Pushing and Caching

Shan Zhang, Wei Quan, Junling Li +3

In this paper, an Air-Ground Integrated VEhicular Network (AGIVEN) architecture is proposed, where the aerial High Altitude Platforms (HAPs) proactively push contents to vehicles t…