242 citations · 382 across the 28 of their papers we have counts for
30 papers
Anchor-and-Connect: Robotic Aerial Base Stations Transforming 6G Infrastructure
Wen Shang, Yuan Liao, Vasilis Friderikos +1
Despite the significant attention that aerial base stations (ABSs) have received recently, their practical implementation is severely weakened by their limited endurance due to the…
Joint Robotic Aerial Base Station Deployment and Wireless Backhauling in 6G Multi-hop Networks
Wen Shang, Yuan Liao, Vasilis Friderikos +1
Due to their ability to anchor into tall urban landforms, such as lampposts or street lights, robotic aerial base stations (RABSs) can create a hyper-flexible wireless multi-hop he…
Swarm of Robotic Aerial Base Stations for mmWave Multi-Hop Backhauling
Yuan Liao, Vasilis Friderikos, Halim Yanikomeroglu
Robotic aerial base stations (RABSs) that are able to anchor at tall urban landforms are expected to bring further flexibility to millimeter-wave (mmWave) multi-hop backhaul networ…
Aerial IRS with Robotic Anchoring Capabilities: A Novel Way for Adaptive Coverage Enhancement
Xinyuan Wu, Vasilis Friderikos
It is widely accepted that integrating intelligent reflecting surfaces (IRSs) with unmanned aerial vehicles (UAV) or drones can assist wireless networks in improving network covera…
Robust Deployment and Resource Allocation for Robotic Aerial Base Station Enabled OFDM Integrated Sensing and Communication
Yuan Liao, Vasilis Friderikos, Halim Yanikomeroglu
The envisioned robotic aerial base station (RABS) concept is expected to bring further flexibility to integrated sensing and communication (ISAC) systems. In this letter, character…
Optimal Mobility Aware Wireless Edge Cloud Support for the Metaverse
Zhaohui Huang, Vasilis Friderikos
Mobile augmented reality (MAR) applications extended in the metaverse could provide mixed and immersive experiences by amalgamating the virtual and physical world. However, the joi…
Mobility Aware Optimization in the Metaverse
Zhaohui Huang, Vasilis Friderikos
Metaverse applications that incorporate Mobile Augmented Reality (MAR) provide mixed and immersive experiences by amalgamating the virtual with the physical world. Notably, due to…
Multi-Objective Provisioning of Network Slices using Deep Reinforcement Learning
Chien-Cheng Wu, Vasilis Friderikos, Cedomir Stefanovic
Network Slicing (NS) is crucial for efficiently enabling divergent network applications in next generation networks. Nonetheless, the complex Quality of Service (QoS) requirements…
Interference Aware Path Planning for Mobile Robots in mmWave Multi Cell Networks
Yijing Ren, Vasilis Friderikos
The emerging beyond 5G and envisioned 6G wireless networks are considered as key enablers in supporting a diversified set of applications for industrial mobile robots (MRs). The sc…
Max-min Rate Deployment Optimization for Backhaul-limited Robotic Aerial 6G Small Cells
Yuan Liao, Vasilis Friderikos
To overcome the limited on-board battery issue of nominal airborne base stations (ABSs), we are exploring the use of robotic airborne base station (RABS) with energy neutral graspi…
Robotic Aerial 6G Small Cells with Grasping End Effectors for mmWave Relay Backhauling
Jongyul Lee, Vasilis Friderikos
Deployment of small cells in dense urban areas dedicated to the heterogeneous network (HetNet) and associated relay nodes for improving backhauling is expected to be an important s…
The Energy-Delay Pareto Front in Cache-enabled Integrated Access and Backhaul mmWave HetNets
Wen Shang, Vasilis Friderikos
In this paper, to address backhaul capacity bottleneck and concurrently optimize energy consumption and delay, we formulate a novel weighted-sum multi-objective optimization proble…
A Minmax Utilization Algorithm for Network Traffic Scheduling of Industrial Robots
Yantong Wang, Vasilis Friderikos, Sebastian Andraos
Emerging 5G and beyond wireless industrial virtualized networks are expected to support a significant number of robotic manipulators. Depending on the processes involved, these ind…
Optimal Deployment and Operation of Robotic Aerial 6G Small Cells with Grasping End Effectors
Yuan Liao, Vasilis Friderikos
Although airborne base stations (ABSs) mounted on drones show a significant potential to enhance network capacity and coverage due to their flexible deployment, the system performa…
Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks
Yantong Wang, Ye Hu, Zhaohui Yang +3
With the continuous trend of data explosion, delivering packets from data servers to end users causes increased stress on both the fronthaul and backhaul traffic of mobile networks…
Energy and Age Pareto Optimal Trajectories in UAV-assisted Wireless Data Collection
Yuan Liao, Vasilis Friderikos
This paper studies an unmanned aerial vehicle (UAV)-assisted wireless network, where a UAV is dispatched to gather information from ground sensor nodes (SN) and transfer the collec…
Airborne Urban Microcells with Grasping End Effectors: A Game Changer for 6G Networks?
Vasilis Friderikos
Airborne (or flying) base stations (ABSs) embedded on drones or unmanned aerial vehicles (UAVs) can be deemed as a central element of envisioned 6G cellular networks where signific…
Trajectory Design in Rechargeable UAV Aided Wireless Networks: A Unified Framework for Energy Efficiency and Flight Time Minimization
Yuan Liao, Vasilis Friderikos
This paper studies a rechargeable unmanned aerial vehicle (UAV) assisted wireless network, where a UAV is dispatched to disseminate information to a group of ground terminals (GTs)…
Enhanced LSTM-based Service Decomposition for Mobile Augmented Reality
Zhaohui Huang, Vasilis Friderikos
Undoubtedly, Mobile Augmented Reality (MAR) applications for 5G and Beyond wireless networks are witnessing a notable attention recently. However, they require significant computat…
Energy-Efficient Proactive Caching with Multipath Routing
Yantong Wang, Vasilis Friderikos
The ever-continuing explosive growth of on-demand content distribution has imposed great pressure on mobile/wireless network infrastructures. To ease congestion in the network and…
A Survey of Deep Learning for Data Caching in Edge Network
Yantong Wang, Vasilis Friderikos
The concept of edge caching provision in emerging 5G and beyond mobile networks is a promising method to deal both with the traffic congestion problem in the core network as well a…
Network Orchestration in Mobile Networks via a Synergy of Model-driven and AI-based Techniques
Yantong Wang, Vasilis Friderikos
As data traffic volume continues to increase, caching of popular content at strategic network locations closer to the end user can enhance not only user experience but ease the uti…
Caching as an Image Characterization Problem using Deep Convolutional Neural Networks
Yantong Wang, Vasilis Friderikos
Caching of popular content closer to the mobile user can significantly increase overall user experience as well as network efficiency by decongesting backbone network segments in t…
Dynamic Placement of VNF Chains for Proactive Caching in Mobile Edge Networks
Gao Zheng, Anthony Tsiopoulos, Vasilis Friderikos
Notwithstanding the significant research effort Network Function Virtualization (NFV) architectures received over the last few years little attention has been placed on optimizing…