A survey on client throughput prediction algorithms in wired and wireless networks
J Schmid, A Höss, BW Schuller - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Network communication has become a part of everyday life, and the interconnection among
devices and people will increase even more in the future. Nevertheless, prediction of Quality …
devices and people will increase even more in the future. Nevertheless, prediction of Quality …
[HTML][HTML] Exploring practical vulnerabilities of machine learning-based wireless systems
NSDI '23 Technical Sessions | USENIX Sign In Conferences Attend Registration Information
Registration Discounts Grant Opportunities Venue, Hotel, and Travel Program Technical …
Registration Discounts Grant Opportunities Venue, Hotel, and Travel Program Technical …
Boosting vehicle-to-cloud communication by machine learning-enabled context prediction
The exploitation of vehicles as mobile sensors acts as a catalyst for novel crowdsensing-
based applications such as intelligent traffic control and distributed weather forecast …
based applications such as intelligent traffic control and distributed weather forecast …
Deep Reinforcement Learning for Online Resource Allocation in Network Slicing
Network slicing is a key enabler of 5G and beyond networks to satisfy the diverse quality of
service (QoS) requirements of different services simultaneously. In network slicing, radio …
service (QoS) requirements of different services simultaneously. In network slicing, radio …
Machine learning based uplink transmission power prediction for LTE and upcoming 5G networks using passive downlink indicators
Energy-aware system design is an important optimization task for static and mobile Internet
of Things (IoT)-based sensor nodes, especially for highly resource-constrained vehicles …
of Things (IoT)-based sensor nodes, especially for highly resource-constrained vehicles …
A deep learning approach for location independent throughput prediction
J Schmid, M Schneider, A HöB… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Mobile communication has become a part of everyday life and is considered to support
reliability and safety in traffic use cases such as conditionally automated driving …
reliability and safety in traffic use cases such as conditionally automated driving …
Data-driven network simulation for performance analysis of anticipatory vehicular communication systems
B Sliwa, C Wietfeld - IEEE Access, 2019 - ieeexplore.ieee.org
The provision of reliable connectivity is envisioned as a key enabler for future autonomous
driving. Anticipatory communication techniques have been proposed for proactively …
driving. Anticipatory communication techniques have been proposed for proactively …
Lightweight simulation of hybrid aerial-and ground-based vehicular communication networks
Cooperating small-scale Unmanned Aerial Vehicles (UAVs) will open up new application
fields within next-generation Intelligent Transportation Sytems (ITSs), eg, airborne near field …
fields within next-generation Intelligent Transportation Sytems (ITSs), eg, airborne near field …
Empirical analysis of client-based network quality prediction in vehicular multi-MNO networks
B Sliwa, C Wietfeld - 2019 IEEE 90th Vehicular Technology …, 2019 - ieeexplore.ieee.org
Multi-Mobile Network Operator (MNO) networking is a promising method to exploit the joint
force of multiple available cellular data connections within vehicular networks. By applying …
force of multiple available cellular data connections within vehicular networks. By applying …
Performance evaluation and optimization of batman v routing for aerial and ground-based mobile ad-hoc networks
B Sliwa, S Falten, C Wietfeld - 2019 IEEE 89th vehicular …, 2019 - ieeexplore.ieee.org
The provision of reliable and efficient end-to-end communication within ground-and air-
based mobile mesh networks is a major challenge for routing protocols due to the mobility …
based mobile mesh networks is a major challenge for routing protocols due to the mobility …