Search Results - "Latzko, Vincent"
-
1
Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey
Published in IEEE access (2019)“…Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices in providing compute- and data-intensive services with low latency…”
Get full text
Journal Article -
2
Optimised Traffic Light Management Through Reinforcement Learning: Traffic State Agnostic Agent vs. Holistic Agent With Current V2I Traffic State Knowledge
Published in IEEE open journal of intelligent transportation systems (2020)“…Traffic light control falls into two main categories: Agnostic systems that do not exploit knowledge of the current traffic state, e.g., the positions and…”
Get full text
Journal Article -
3
Mobility- and Energy-Aware Cooperative Edge Offloading for Dependent Computation Tasks
Published in Network (Basel) (01-09-2021)“…Cooperative edge offloading to nearby end devices via Device-to-Device (D2D) links in edge networks with sliced computing resources has mainly been studied for…”
Get full text
Journal Article -
4
Accurate Energy-Efficient Localization Algorithm for IoT Sensors
Published in ICC 2020 - 2020 IEEE International Conference on Communications (ICC) (01-06-2020)“…Wireless Sensor Networks (WSNs) applications have attracted attention in Internet of Things (IoT) as a novel networking paradigm consisting of billions of…”
Get full text
Conference Proceeding -
5
Usecase Driven Evolution of Network Coding Parameters Enabling Tactile Internet Applications
Published in ICC 2020 - 2020 IEEE International Conference on Communications (ICC) (01-06-2020)“…Present-day and future network protocols that include and implement Forward Error Correction are configurable by internal parameters, typically incorporating…”
Get full text
Conference Proceeding -
6
Accelerator-Aware Computation Offloading Under Timing Constraints
Published in 2024 International Conference on Computing, Networking and Communications (ICNC) (19-02-2024)“…The rise of chiplets in personal and high performance computing is mirrored in System on Chip (SOC) in mobile devices. Both paradigms allow vendors and…”
Get full text
Conference Proceeding -
7
Energy-Aware and Fair Multi-User Multi-Task Computation Offloading
Published in 2023 International Conference on Computing, Networking and Communications (ICNC) (20-02-2023)“…Enabling computation intensive tasks with low latency requirements on mobile devices considering their battery life time is one of the challenges in 5G…”
Get full text
Conference Proceeding -
8
Analysing and Learning Low-Latency Network Coding Schemes
Published in 2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (21-06-2023)“…Forward Error Correction (FEC) has become an integral part of communication technology to address expected losses during transfer of data. Among various layer…”
Get full text
Conference Proceeding -
9
Experiment as Code - An Automated Testbed for Cloud Scaling and Operations
Published in 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) (01-02-2024)“…Cloud Computing has been widely adopted in industry, administrations, as well as research. At the same time, development and testing of new technologies is…”
Get full text
Conference Proceeding -
10
Energy-Aware Cooperative Offloading Framework for Inter-dependent and Delay-sensitive Tasks
Published in GLOBECOM 2020 - 2020 IEEE Global Communications Conference (01-12-2020)“…Computation offloading is one of the main use-cases of the Multi-access Edge Computing (MEC) paradigm which can help to save the battery life of the…”
Get full text
Conference Proceeding -
11
Estimating Link Capacity with Uncertainty Bounds in Cellular Networks
Published in 2023 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) (04-07-2023)“…Machine learning (ML) equips next-generation networks with anticipatory capabilities. End-to-end predictive Quality of Service (pQoS) leverages ML models to…”
Get full text
Conference Proceeding