Agile management and interoperability testing of SDN/NFV-enriched 5G core networks

In the fifth generation (5G) era, the radio internet protocol capacity is expected to reach 20Gb/s per sector, and ultralarge content traffic will travel across a faster wireless/wireline access network and packet core network. Moreover, the massive and mission-critical Internet of Things is the main differentiator of 5G services. These types of real-time and large-bandwidth-consuming services require a radio latency of less than 1 ms and an end-to-end latency of less than a few milliseconds. By distributing 5G core nodes closer to cell sites, the backhaul traffic volume and latency can be significantly reduced by having mobile devices download content immediately from a closer content server. In this paper, we propose a novel solution based on software-defined network and network function virtualization technologies in order to achieve agile management of 5G core network functionalities with a proof-of-concept implementation targeted for the PyeongChang Winter Olympics and describe the results of interoperability testing experiences between two core networks

Design and Simulation of the Multi-RAT Load-balancing Algorithms for 5G-ALLSTAR Systems

This paper introduces algorithms for the multi-RAT load balancing function to maximize QoE in terrestrial and satellite combined system developed in the 5G-ALLSTAR project. The pros and cons of the considered algorithms are described and the simulator is also described in the paper with the on-going performance evaluation processes

A Report on the 3rd IFIP/IEEE International Workshop on Management of the Future Internet (ManFI 2011)

The 3rd IFIP/IEEE International Workshop on Management of the Future Internet (ManFI 2011) was held on May 27, 2011 in Dublin, Ireland. This report summarizes the presentations and discussions in ManFI 2011 and provides a high-level view of challenges, strategies and the current state of the research activities in the field of the Future Internet management.X110sciescopu

Agile management of 5G core network based on SDN/NFV technology

In the 5G era, radio IP capacity is expected to reach 20 Gbit/s per sector, and ultra-large content traffic will travel across the faster wireless/wireline access network and packet core network. Also massive and mission-critical IoT is the main differentiator of 5G services. These types of real-time and large-bandwidth consuming services require radio latency of less than 1ms, and end-to-end latency of less than a few ms. By distributing 5G core nodes closer to cell sites, backhaul traffic volume and latency can be significantly reduced by having mobile devices downloading content immediately from a closer content server. In this paper, we propose a novel solution based on SDN (Software Defined Network) and NFV (Network Function Virtualization) technology in order to achieve an agile management of distributed 5G core network functionalities and services with PoC implementation targeted for Pyungchang Winter Olympics

Novel Traffic Measurement Methodology for High Precision Applications Awareness in Multi-gigabit Networks

Abstract. Traffic measurement research has focused on various aspects ranging from simple packet-based monitoring to sophisticated flow-based measurement and analysis. Especially, most recent research has tried to address limitations of simple flow-based monitoring by utilizing payload inspection for applications signatures or by identifying target application group based on common traffic characteristics. However, due to highly dynamic nature of the development and the use of the Internet applications, individual simple remedy such as application signature inspection, dynamic port identification, or traffic characterization can't be sufficient to achieve high precision application-aware monitoring. This is true especially in multi-gigabit high-speed network environment. As the Internet has been evolving from free networks to highquality business oriented ones, more sophisticated high precision applicationaware traffic measurement is required which takes all the factors mentioned above into account. In this paper, we propose our novel traffic measurement methodology to meet such requirements. We considered scalability, costefficiency, and performance

Network Selection in 5G Networks Based on Markov Games and Friend-or-Foe Reinforcement Learning

This paper presents a control solution for the optimal network selection problem in 5G heterogeneous networks. The control logic proposed is based on multi-agent Friend-or-Foe Q-Learning, allowing the design of a distributed control architecture that sees the various access points compete for the allocation of the connection requests. Numerical simulations validate conceptually the approach, developed in the scope of the EU-Korea project 5G-ALLSTA

6G in the sky: On-demand intelligence at the edge of 3D networks (Invited paper)

Sixth generation will exploit satellite, aerial, and terrestrial platforms jointly to improve radio access capability and unlock the support of on-demand edge cloud services in three-dimensional (3D) space, by incorporating mobile edge computing (MEC) functionalities on aerial platforms and low-orbit satellites. This will extend the MEC support to devices and network elements in the sky and forge a space-borne MEC, enabling intelligent, personalized, and distributed on-demand services. End users will experience the impression of being surrounded by a distributed computer, fulfilling their requests with apparently zero latency. In this paper, we consider an architecture that provides communication, computation, and caching (C3) services on demand, anytime, and everywhere in 3D space, integrating conventional ground (terrestrial) base stations and flying (non-terrestrial) nodes. Given the complexity of the overall network, the C3 resources and management of aerial devices need to be jointly orchestrated via artificial intelligence-based algorithms, exploiting virtualized network functions dynamically deployed in a distributed manner across terrestrial and non-terrestrial nodes.European Union in the Horizon 2020 EU-Korea project 5G-ALLSTAR, GA no. 815323, by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT No. 2018-0-00175) and by Grant No. P102-18-27023S, funded by the Czech Science Foundation.Peer ReviewedPostprint (published version