A5045056842- Software-Defined Networks and 5G
- Advanced MIMO Systems Optimization
- Advanced Optical Network Technologies
- Software System Performance and Reliability
- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Smart Grid Security and Resilience
- Vehicular Ad Hoc Networks (VANETs)
- Human Mobility and Location-Based Analysis
- Network Traffic and Congestion Control
- Internet Traffic Analysis and Secure E-voting
- Age of Information Optimization
- Image and Video Quality Assessment
- Cognitive Radio Networks and Spectrum Sensing
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Modular Robots and Swarm Intelligence
- Advanced Wireless Communication Technologies
- Power Line Communications and Noise
- Wireless Communication Networks Research
- Advanced Photonic Communication Systems
- Robotics and Automated Systems
- Privacy-Preserving Technologies in Data
- Access Control and Trust
- Network Security and Intrusion Detection
Iquadrat (Spain)
2020-2024
University of Amsterdam
2024
University of Western Macedonia
2018
As technology progresses, cars can not only be considered as a transportation medium but also an intelligent part of the cellular network that generates highly valuable data and offers both entertainment security services to passengers. Therefore, forthcoming 5G networks are said enhance Ultra-Reliable Ultra-Low-Latency will allow for new breed disrupt industry we know it today. In this work, devise unique fusion Deep Learning based mobility prediction Genetic Algorithm assisted service...
In this work we design and implement a Neural Network that can identify recurrent patterns in various metrics which be then used for cellular network traffic forecasting. Based on custom architecture memory, handle prediction tasks faster more accurately real life scenarios. This approach offers solution service providers to enhance performance, by utilizing effectively the available resources. order provide robust conclusion about performance precision of proposed Network, multiple...
The evolution of Software-Defined Networking (SDN) and Network Function Virtualization (NFV) in the telecommunications industry have intensified issues network management at large scales. Dynamic service orchestration adaptive resource allocation became a necessity for operators to manage rapid growth users data-intensive applications. impact automation on energy consumption overall operating costs is often overlooked. Guaranteeing strict performance constraints Ultra-Reliable Low Latency...
The increasing demand for fast, reliable, and robust network services has driven the telecommunications industry to design novel architectures that employ Network Functions Virtualization Software Defined Networking. Despite advancements in cellular networks, there is a need an automatic, self-adapting orchestrating mechanism can manage placement of resources. Deep Reinforcement Learning perform such tasks dynamically, without any prior knowledge. In this work, we leverage Deterministic...
The standard for 5G communication exploits the concept of a network slice, defined as virtualized subset physical resources infrastructure. As large number slices is deployed over network, it necessary to determine resource demand each and how varies time. This serves increase efficiency infrastructure without degrading slice performance. Traffic prediction common approach this demand.State-of-the-art research has demonstrated effectiveness machine learning (ML) predictors traffic in...
As the demand for Network Function Virtualization accelerates, service providers are expected to advance way they manage and orchestrate their network services offer lower latency future users. Modern require complex data flows between Virtual Functions, placed in separate domains, risking an increase that compromises offered constraints. This shift requires high levels of automation deal with scale load networks. In this paper, we formulate Service Chaining (SFC) placement problem then...
The new technologies introduced by 5G, such as network slicing, will improve the capabilities of Vehicle-to-Vehicle (V2V) communications, enabling introduction a range services and forms Vehicle-to-Everything (V2X) interactions. In order to deploy these V2X slices they are associated with over 5G while ensuring Quality Service (QoS), intelligent proactive resource managers orchestrators (RMOs) need be developed. ability forecast slice demand can significantly increase proactivity RMOs....
5G and Beyond systems are built with unprecedented scale, heterogeneity programmability in mind, come features such as increased technological complexity (due to abstraction); dynamic behavior of the network prompted by demand for new functionality capacity extensions; variability volume access (e.g., type number connections, diverse types services traffic patterns), etc. Therefore, one major management requirements is automation. Rather than having only local, segregated automation...
The future network slicing enabled mobile ecosystem is expected to support a wide set of heterogenous vertical services over common infrastructure. service robustness and their intrinsic requirements, together with the heterogeneity infrastructure resources in both technological spatial domain, significantly increase complexity create new challenges regarding management orchestration. High degree automation, flexibility programmability are becoming fundamental architectural features enable...
Designing mechanisms for orchestration and management is one of the central issues in 5G Beyond-5G (B5G) network infrastructures. This due, among other things, to sheer amount traffic that they are expected support, decentralized nature architectures services run. In these future communication networks, will be more complicated when compared previous technologies, centralized legacy solutions limited ensuring revenue infrastructure providers, service providers a good Quality Experience (QoE)...
The success of Software-Defined Networking and Network Function Virtualization enabled providers to partially automate the decision-making various network operating workflows. slicing is an innate feature Fifth Generation (5G) Beyond-5G (B5G) networks, bringing many advantages but also increasing complexity managing such networks. In this context, automation tools based on Artificial Intelligence (AI) have become a preeminent instrument used by industry, as it would be impossible manually...
Managing network slices in 5G networks and communication technologies Beyond-5G (B5G) requires intelligent mechanisms to ensure users' service access maximize the utility efficiency of network's physical resources. To achieve this, we propose a mechanism based on Reinforcement Learning (RL) for Admission Control (AC) User Service Requests (USRs) into through dynamic bandwidth (BW) reallocation. Our approach admits, delays or rejects USRs depending BW slice this generates infrastructure...
As commercial 5G networks become commercially available and 6G looms in the horizon, adoption of this new technologies depends on way current yet-to-come vertical industries put them to use. This accelerates process by end users, which are final consumers these technologies. have multiple use cases associated with its features, being Ultra-Reliable Low Latency Communications (URLLC) case one most instrumental for verticals such as remote teleoperation, factory automation autonomous driving....
Robots are increasingly being used in a variety of applications, from manufacturing and healthcare to education customer service. However, the mobility, power, price points these robots often dictate that they do not have sufficient computing power on board run modern algorithms for personalization human-robot interaction at desired rates. This can limit effectiveness potential applications robots. 5G connectivity provides solution this problem by offering high data rates, bandwidth, low...
Network Virtualization (NV) has proved a promising technology that allows multiple heterogeneous Virtual Networks (VNs) to operate simultaneously on the same infrastructure. Dynamic Embedding (NVE) emerged as an enabler of elasticity and scalability in VN deployment resource allocation physical However, key challenge realizing NV sustainable way is how dynamically embed VNs efficiently into network, which defined VNE problem. To address this challenge, paper proposes approach leverages...