no code implementations • 16 Dec 2023 • 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 networks in highly dense urban environments.
no code implementations • 27 Jul 2022 • Chien-Cheng Wu, Vasilis Friderikos, Cedomir Stefanovic
To this end, we model the real-time NSP as an Online Network Slice Provisioning (ONSP) problem.
no code implementations • 5 Jul 2022 • 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).
no code implementations • 15 Aug 2021 • Yantong Wang, Ye Hu, Zhaohui Yang, Walid Saad, Kai-Kit Wong, Vasilis Friderikos
In this paper, a novel framework for proactive caching is proposed.
no code implementations • 17 Aug 2020 • Yantong Wang, Vasilis Friderikos
Then, a number of key types of deep learning algorithms are presented, ranging from supervised learning to unsupervised learning as well as reinforcement learning.
no code implementations • 1 Apr 2020 • 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 utilization of highly congested links in the network.
Decision Making Networking and Internet Architecture Signal Processing
no code implementations • 16 Jul 2019 • 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 the case of congestion episodes.