A5010958812- Software-Defined Networks and 5G
- IoT and Edge/Fog Computing
- Software System Performance and Reliability
- Advanced MIMO Systems Optimization
- Modular Robots and Swarm Intelligence
- Optimization and Search Problems
- Advanced Wireless Communication Technologies
- Robotics and Automated Systems
- Traffic Prediction and Management Techniques
- Cooperative Communication and Network Coding
- Advanced Photonic Communication Systems
- Advanced Bandit Algorithms Research
- Energy Harvesting in Wireless Networks
- Internet Traffic Analysis and Secure E-voting
- Millimeter-Wave Propagation and Modeling
- Vehicular Ad Hoc Networks (VANETs)
- Network Security and Intrusion Detection
- Robotics and Sensor-Based Localization
- IoT Networks and Protocols
- Full-Duplex Wireless Communications
- Blockchain Technology Applications and Security
- Distributed Control Multi-Agent Systems
- Real-Time Systems Scheduling
- Cognitive Radio Networks and Spectrum Sensing
- Energy Efficient Wireless Sensor Networks
University of Kaiserslautern
2018-2023
Sharp Laboratories of Europe (United Kingdom)
2019
Network slicing allows mobile operators to offer, via proper abstractions, infrastructure (radio, networking, computing) vertical sectors traditionally alien the telco industry (e.g., automotive, health, construction). Owning similar business nature, in this paper we adopt yield management models successful other (e.g. airlines, hotels, etc.) and so explore concept of slice overbooking maximize revenue operators.
With the advent of revolutionary technologies, such as virtualization and softwarization, a novel concept for 5G networks beyond has been unveiled: Network Slicing. Initially driven by research community, standardization bodies 3GPP have embraced it promising solution to revolutionize traditional mobile telecommunication market enabling new business models opportunities. Slicing is envisioned open up telecom players Industry Verticals, e.g., automotive, smart factories, e-health, etc. Given...
Network slicing enables multiple virtual networks to be instantiated and customized meet heterogeneous use case requirements over 5G beyond network deployments. However, most of the solutions available today face scalability issues when considering many slices, due centralized controllers requiring a holistic view resource availability consumption different networking domains. In order tackle this challenge, we design <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Network Slicing is expected to become a game changer in the upcoming 5G networks and beyond, enlarging telecom business ecosystem through still-unexplored vertical industry profits. This implies that heterogeneous service level agreements (SLAs) must be guaranteed per slice given multitude of predefined requirements. In this paper, we pioneer novel radio slicing orchestration solution simultaneously provides-latency throughput guarantees multi-tenancy environment. Leveraging on solid...
The Open Radio Access Network (O-RAN) Alliance is driving the latest evolution of RAN deployments, moving from traditionally closed and dedicated hardware implementations toward virtualized instances running over shared platforms characterized by open interfaces. Such progressive decoupling radio software components paves road for future efficient cost-effective deployments. Nevertheless, there are many aspects successful implementation O-RAN networks, such as real-time configuration network...
The maturity and commercial roll-out of 5G networks its deployment for private makes a key enabler various vertical industries applications, including robotics. Providing ultra-low latency, high data rates, ubiquitous coverage wireless connectivity, fully unlocks the potential robot autonomy boosts emerging robotic particularly in domain autonomous mobile robots. Ensuring seamless, efficient, reliable navigation operation robots within network requires clear understanding expected quality...
Virtualization and network slicing offer an unprecedented opportunity to mobile operators: open their physical infrastructure platform the concurrent deployment of multiple logical self-contained networks, namely <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">network slices</i> . In this paper, we propose analyze xmlns:xlink="http://www.w3.org/1999/xlink">ONETS</i> , Online NETwork Slicing solution that <inline-formula...
The recent O-RAN specifications promote the evolution of RAN architecture by function disaggregation, adoption open interfaces, and instantiation a hierarchical closed-loop control managed Intelligent Controllers (RICs) entities. This paves road to novel data-driven network management approaches based on programmable logic. Aided Artificial Intelligence (AI) Machine Learning (ML), solutions targeting traditionally unsolved issues can be devised. Nevertheless, such smart autonomous systems is...
The network slicing paradigm provides the necessary means to allow vertical segments seamlessly share same infrastructure, while delivering expected service level agreements (SLAs) their own customers. However, concurrent access at shared resources and huge disparity among different verticals' requirements opens up new technical challenges that must be addressed. With this demonstration, we showcase benefits centralized orchestration operations, such as slice brokerage allocation, can bring...
Multi-access Edge Computing (MEC) is envisioned as a key technology in the 5G landscape, able to bring computing capabilities edge of network, closer end users. This would help fulfill next generation network requirements terms low latency and high bandwidth. ETSI has started specifying MEC an operator-owned system run third party's applications, which can leverage benefits inherent environment for added value services In this paper we explore novel paradigm parties access system: renting...
The Internet of Things (IoT) ecosystem is gaining momentum in urban environments where several devices, originally deployed for a specific purpose and belonging to different technologies, are now linked together harmonize heterogeneous holistic scenarios. Early deployments have proven their value, but novel use cases such as automotive, public safety, e-health being considered the context smart cities. Such demand new stringent requirements that cannot be supported by current solutions terms...
Enabled by the network slicing paradigm, a wide set of vertical services are expected to populate future mobile ecosystem while efficiently coexisting over shared infrastructure. However, intrinsic diversity services, together with heterogeneity infrastructure resources, poses severe management challenges that demand deep architectural innovations seamlessly support enhanced orchestration mechanisms based on automation, flexibility, and programmability. In this paper, we present novel...
The upcoming 5th generation (5G) of mobile networks is being designed to significantly improve the performance current network deployments by introducing more flexibility and scalability while, at same time, optimizing spectrum utilization energy efficiency radio communications. Among such novelties, Network Slicing emerging as key-concept in 5G landscape, able provide means for concurrent deployment heterogeneous services over a common physical network. In this paper, we investigate...
The 5G mobile networks extend the capability for supporting collaborative robot operations in outdoor scenarios. However, restricted battery life of robots still poses a major obstacle to their effective implementation and utilization real One most challenging situations is execution mission-critical tasks that require use various on-board sensors perform simultaneous localization mapping (SLAM) unexplored environments. Given time-sensitive nature these tasks, completing them shortest...
Battery life for collaborative robotics scenarios is a key challenge limiting operational uses and deployment in real life. Mission-Critical tasks are among the most relevant challenging scenarios. As multiple heterogeneous on-board sensors required to explore unknown environments simultaneous localization mapping (SLAM) tasks, battery problems further exacerbated. Given time-sensitivity of mission-critical operations, successful completion specific minimum amount time paramount importance....
Network slicing allows mobile network operators to open their physical infrastructure platform the concurrent deployment of multiple logical self-contained networks, i.e., slices. In this paper we propose and analyze ONETS: an Online NETwork Slicing solution that (i) builds on budgeted lock-up multi-armed bandit mathematical model properties, (ii) derives its analytical bounds in our proposed extension for slicing, (iii) seamlessly integrates into 3GPP architecture, (iv) proves feasibility...
Vehicle-to-everything (V2X) is expected to become one of the main drivers 5G business in near future. Dedicated network slices are envisioned satisfy stringent requirements advanced V2X services, such as autonomous driving, aimed at drastically reducing road casualties. However, services more mission-critical, new solutions need be devised guarantee their successful service delivery even exceptional situations, e.g. accidents, congestion, etc. In this context, we propose π-ROAD, a deep...
Artificial intelligence (AI) and Machine Learning (ML) are considered as key enablers for realizing the full potential of fifth-generation (5G) beyond mobile networks, particularly in context resource management orchestration. In this demonstration, we consider a fully-fledged 5G network develop multi-agent deep reinforcement learning (DRL) framework RAN allocation. By leveraging local monitoring information generated by shared gNodeB instance (gNB), each DRL agent aims to optimally allocate...
This article describes a scalable solution for orchestrating and managing massive number of network slices that leverages Artificial Intelligence (AI) techniques to design robust sustainable networks. To achieve this goal, the proposed approach decomposes management orchestration (M&O) plane using separation concerns uses AI automate M&O operations. The automation is achieved through use multiple, distributed AI-driven control loops. loops have different goals may work on node level, slice...