Miguel Camelo

University of Antwerp | UA · Department of Mathematics and Computer Science

Continuous growth of the number of mobile users and the broadband requirements of new applications suppose a crucial challenge in planning, maintenance and resource allocation in cellular networks for the telecommunication operators. Providers must ensure a quality of service for users in a new environment based in Heterogeneous Wireless Networks (...

As natural disasters become more frequent and severe, ensuring a resilient communications infrastructure is of paramount importance for effective disaster response and recovery. This disaster-resilient infrastructure should also respond to sustainability goals by providing an energy-efficient and economically feasible network that is accessible to...

As we move closer to the 6G era, the complexity and dynamism of communication networks is set to increase signifi- cantly. This requires more sophisticated, automated management solutions, while retaining human oversight. To meet these new challenges, it is essential to build new architectures that provide a secure environment for closed-loop netwo...

Traffic Classification (TC) systems are designed to identify the applications generating network traffic. Recent advancements in TC leverage Deep Learning (DL) techniques, surpassing traditional methods in complex scenarios, including those with encrypted traffic. Notably, state-of-the-art DL-based TC systems have been developed for wireless networ...

Nowadays, many services are offered via the cloud, i.e., they rely on interacting software components that can run on a set of connected Commercial Off-The-Shelf (COTS) servers sitting in data centers. As the demand for any particular service evolves over time, the computational resources associated with the service must be scaled accordingly while...

El sector de las telecomunicaciones se desenvuelve en un entorno caracterizado por condiciones de fuerte competencia, incursión de nuevos operadores e incorporación de tecnologías emergentes que, sumado a los continuos cambios en los aspectos económicos y sociales, enfrenta un panorama de incertidumbre a la hora de plantear modelos de negocio y pos...

Autonomous network management is crucial for Fifth Generation (5G) and Beyond 5G (B5G) networks, where a constantly changing environment is expected and network configuration must adapt accordingly. Modeling tools are required to predict the impact on performance (packet and delay loss) when new traffic demands arrives and when changes in routing p...

The complexity of orchestrating Beyond 5G services, such as vehicular, demands novel approaches to remove limitations of existing techniques, as these might cause a large delay in orchestration operations, and thus, negatively impact the service performance. For instance, the human-in-the-loop approach is slow and prone to errors, and closed loop c...

Characteristics like self-managing, self-adaptation, and self-organization are the main objectives of intelligent network operation. AI and Machine Learning (ML) algorithms will enable future networks to operate entirely autonomously. However, current network architectures are not fully prepared to include and properly handle the promised Network I...

While there is a clear trend towards network automation through the usage of Artificial Intelligence (AI) and Machine Learning (ML) solutions, the major reference network architectures are still not natively including all the mechanisms needed to handle Network Intelligence (NI). This paper introduces a novel architecture proposed within the EU-fun...

Autonomous network management is crucial for Fifth Generation (5G) and Beyond 5G (B5G) networks, where constant environmental changes must be predicted, adapting network configurations accordingly. Model-ing tools are required to predict the impact on performance when new traffic combinations and routings are applied in the network. Mathematical an...

Next-generation communication systems will face new challenges related to efficiently managing the available resources, such as the radio spectrum. DL is one of the optimization approaches to address and solve these challenges. However, there is a gap between research and industry. Most AI models that solve communication problems cannot be implemen...

Autonomous Fifth Generation (5G) and Beyond 5G (B5G) networks require modelling tools to predict the impact on the performance when new configurations and features are applied in the network. Modeling modern networks through traditional mathematical analysis can lead to low accuracy, while the execution time and resource usage are high in network s...

The plethora of heterogeneous and diversified services in 5G and beyond requires from networks to be flexible, adaptable, and programmable, i.e., to be able to correspondingly adapt to changes. As human intervention might significantly increase delays in MANagement and Orchestration (MANO) operations, automation and intelligence become imperative f...

As manual Management and Orchestration (MANO) of services and resources might delay the execution of MANO operations and negatively impact the performance of 5G and beyond Vehicle-to-Everything (V2X) services, applying AI in MANO to enable automation and intelligence is an imperative. The Network Function Virtualization (NFV), Software Defined Netw...

Next-generation mobile networks are expected to flaunt highly (if not fully) automated management. To achieve such a vision, Artificial Intelligence (AI) and Machine Learning (ML) techniques will be key enablers to craft the required intelligence for networking, i.e., Network Intelligence (NI), empowering myriad of orchestrators and controllers acr...

Traffic Classification (TC) systems allow inferring the application that is generating the traffic being analyzed. State-of-the-art TC algorithms are based on Deep Learning (DL) and have outperformed traditional methods in complex and modern scenarios, even if traffic is encrypted. Most of the works on TC assume the traffic flows on a wired network...

IEEE 802.11 (Wi-Fi) is one of the technologies that provides high performance with a high density of connected devices to support emerging demanding services, such as virtual and augmented reality. However, in highly dense deployments, Wi-Fi performance is severely affected by interference. This problem is even worse in new standards, such as 802.1...

Recently, the operation of LTE in unlicensed bands has been proposed to cope with the ever-increasing mobile traffic demand. However, the deployment of LTE in such bands implies sharing spectrum with mature technologies such as Wi-Fi. Several studies have discussed this coexistence problem by suggesting that LTE implements different adaptation mech...

Wireless network technologies are becoming more and more popular. Because of this, important parts of the wireless spectrum become overloaded. Static spectrum allocation, which has been the norm for decades, is not suitable anymore. To maintain the high demand for spectrum and the continuous development of new wireless technologies, there is a need...

Wireless network technologies are becoming more and more popular. Because of this, important parts of the wireless spectrum become overloaded. Static spectrum allocation, which has been the norm for decades, is not suitable anymore. To maintain the high demand for spectrum and the continuous development of new wireless technologies, there is a need...

Since the early days of wireless communication, wireless spectrum has been allocated according to a static frequency plan, whereby most of the spectrum is licensed for exclusive use by specific services or radio technologies. While some spectrum bands are overcrowded, many other bands are heavily underutilized. As a result, there is a shortage of a...

Traffic recognition is commonly done using deep packet inspection or packet‐based approaches. However, these methods require the listening device to be part of the network and raise privacy concerns. Traffic recognition models that operate directly at the spectrum level could, for instance, be used for smart spectrum management. To this extent, we...

Many Internet of Things (IoT) applications require a distributed architecture for decision making: either because of a lack of a centralized system, failure-prone connectivity to a centralized system, or because the imposed latency to contact such a system is too high for real-time applications. Often, these IoT applications fall in the domain of R...

Radio spectrum has become a scarce commodity due to the advent of several non-collaborative radio technologies that share the same spectrum. Recognizing a radio technology that accesses the spectrum is fundamental to define spectrum management policies to mitigate interference. State-of-the-art approaches for technology recognition using machine le...

Cognitive Radio (CR) systems allow optimizing the use of the shared radio spectrum and enhancing the coexistence among different technologies by efficiently changing certain operating parameters of the radios such as transmit-power, carrier frequency, and modulation and coding scheme in real-time. Dynamic Spectrum Access (DSA), which allows radios...

Data center networks (DCNs) connect hundreds and thousands of computers and, as a result of the exponential growth in their number of nodes, the design of scalable (compact) routing schemes plays a pivotal role in the optimal operation of the DCN. Traditional trends in the design of DCN architectures have led to solutions, where routing schemes and...

A wide range of social, technological and communication systems can be described as complex networks. Scale-free networks are one of the well known classes of complex networks in which nodes’ degrees follow a power-law distribution. The design of scalable, adaptive and resilient routing schemes in such networks is very challenging. In this article...

The Internet of Things (IoT) is more and more becoming a platform for mission critical applications with stringent requirements in terms of response time and mobility. Therefore , a centralized High Performance Computing (HPC) environment is often not suitable or simply non-existing. Instead , there is a need for a scalable HPC model that supports...

Este artículo ofrece un estudio y análisis de diferentes algoritmos usados para la planificación y asignación de tareas a recursos en ambientes de Clúster computacionales y Grid Computing. Características como la heterogeneidad y dinamismo de tareas y recursos en este tipo de ambientes, hacen que este problema sea catalogado como NP-Completo y que...

Wireless Mesh Networks (WMN) is one of the most common network infrastructure that provides the technical characteristics to fulfill the requirements proposed by the Smart Cities. In order to obtain an efficient allocation and use of resources in such kind of infrastructures, the design of routing protocols that support Quality of Service (QoS) is...

As a potential solution to the compact routing problem, geometric routing has been proven to be both simple and heuristically effective. These routing schemes assign some (virtual) coordinates in a metric space to each network vertex through the process called embedding. By forwarding packets to the closest neighbor to the destination, they ensure...

Due to the growth of the number of intelligent devices and the broadband requirements, between others technical requirements, of the new applications, suppose a new challenge in planning, maintenance and resource allocation in mobile networks for the telecommunication operators. Service providers must ensure a quality of service for users in a new...

Nowadays data centers are becoming huge facilities with hundreds of thousands of nodes, connected through a network. The design of such interconnection networks involves finding graph models that have good topological properties and that allow the use of efficient routing algorithms. Cayley Graphs, a kind of graphs that represents an algebraic grou...

Wireless Mesh Networks (WMN) is one of the technologic infrastructures that provide the technical characteristics that could fulfill the requirements proposed by the Smart Cities. One of the most important challenges is designing of optimal routing protocols in this kind of networks, especially for the smart cities environment. These protocols must...

In this paper we present a new alternative for routing with quality of service (QoS) problem solution in Wireless Mesh Networks (WMN). This problem has the especial attribute of including multiple objectives which are conflicting between them. A mathematical model is proposed for this problem and includes QoS parameters such as bandwidth, packet lo...

Grid task scheduling problem has been a research focus in grid computing for the past years. Some Deterministic, Heuristics or Metaheuristic scheduling approaches have been proposed to solve this NP-complete problem. However, these algorithms do not take the Multi-Objective nature of Grid Computing performance into account. In this paper we present...

In this paper we present a new alternative for the routing problem in Wireless Mesh Networks (WMN) taking into account the quality of service (QoS). The actual problem includes multiple objectives with conflicts among them. Classical approximations optimize a single objective or QoS parameter, however they do not not take into account the conflicti...

This paper presents a new strategy that can solve the Grid task scheduling problem with multiple objectives (NP-Hard) in polynomial time using evolutionary algorithms. The results obtained by our proposed algorithm were compared and evaluated against the -constraints classic Multi-Objective Optimization method, which uses the deterministic algorith...

High energy devices are designed to work with extremely high electric and magnetic fields. As a consequence, these devices show non-linear phenomena and behaviour, such as magnetic insulation which alters electron trajectory. A mathematical analysis and review of magnetic insulation were carried out as a consequence of non-linearity to find frontie...

High energy devices are designed to work with extremely high electric and magnetic fields. As a consequence, these devices show non-linear phenomena and behavior, such as magnetic insulation which alters electron trajectory. A mathematical analysis and review of magnetic insulation were carried out as a consequence of nonlinearity to find frontier...