Key Technologies in the Context of Future Networks: Operational and Management Requirements

Abstract

The concept of Future Networks is based on the premise that current infrastructures require enhanced control, service customization, self-organization and self-management capabilities to meet the new needs in a connected society, especially of mobile users. In order to provide a high-performance mobile system, three main fields must be improved: radio, network, and operation and management. In particular, operation and management capabilities are intended to enable business agility and operational sustainability, where the addition of new services does not imply an excessive increase in capital or operational expenditures. In this context, a set of key-enabled technologies have emerged in order to aid in this field. Concepts such as Software Defined Network (SDN), Network Function Virtualization (NFV) and Self-Organized Networks (SON) are pushing traditional systems towards the next 5G network generation.This paper presents an overview of the current status of these promising technologies and ongoing works to fulfill the operational and management requirements of mobile infrastructures. This work also details the use cases and the challenges, taking into account not only SDN, NFV, cloud computing and SON but also other paradigms.

Clustering-Based Modified Ant Colony Optimizer for Internet of Vehicles (CACOIOV)

“…This factor can be changed in a range of [1-MaxIteration ants ]. By our experiment, if the DP CS value has changed in the range of [1][2][3][4][5][6][7][8][9][10], the convergence speed of the algorithm for finding the best solution becomes quicker. On the other hand, increasing this value by more than 10 reduces accuracy for finding the best solution by ants.…”

“…Due to existing and future challenges of communication network, a novel promising technology known as the 5G network has emerged to overcome these challenges. Artificial intelligence, Software-Defined Networking (SDN), Self-Organizing Networks (SON), cloud computing, and Network Function Virtualization (NFV) are some of the solutions for integrating the smart communication network [1]. All these efforts contribute to greener and more energy-efficient communication systems and of course sustainability.…”

Monitoring and Discovery for Self-Organized Network Management in Virtualized and Software Defined Networks

“…Then, the root cause is notified to the Decision Maker. Because Diagnoser follows the extensibility and customization capabilities defined in 5G networks [1], the architecture enables the existence of a dataset of several algorithms. Depending of the complexity of the situation, SELFNET defines three different diagnosis processing chains: TAL-based diagnosis, machine learning diagnosis and offline diagnosis.…”

“…Similarly, a new model that integrates the access and management of mobile resources is promoted. The future 5G architecture is expected to expose not only typical mobile broadband but also a heterogeneous, simplified and unified control [1]. The network management expenditures can be reduced through automation of operations.…”

Marco para el Análisis e Inferencia de Conocimiento en Redes 5G

“…Actualmente, la personalización de los servicios de red se ve limitada por la rigidez de las arquitecturas tradicionales debido a que tienen una fuerte dependencia de la configuración manual de dispositivos, así como de un lento proceso de estandarización (desde su diseño hasta su implementación) para la generación de nuevos productos y servicios. Según el reporte de la comisión Europea "Future Internet" la próxima generación de redes móviles (5G) superará dichas limitaciones, y se pronostican sus primeros resultados para el año 2020 [1].Éstas tienen por objetivo el proporcionar un entorno de comunicación confiable y de alto rendimiento que asegure la provisión eficiente de servicios, y que a su vez garantice el cumplimiento de los Acuerdos de Nivel de Servicio (SLAs) [3]. La nueva generación se caracterizarará por indicadores de desempeño muy superiores a los ofrecidos por las generaciones predecesoras, considerando entre ellos las altas capacidades de transmisión, baja latencia, altos niveles de QoE/QoS (evaluados según métricas objetivas [4]), gran densidad de dispositivos porárea geográfica, etc.…”