SECRET is a collaborative European Training Network (ETN) committed to create an "excellent" educational training platform for Early Stage Researchers (ESRs) in the field of wireless communications and networking for 5G. The project is recently funded by the European Commission under the H2020 research and innovation program, through the Marie Curie People Program.This proposal targets to narrow the gap between current networking technologies and the foreseen requirements of future 2020 networking, through the recruitment and training of 17 ESRs. SECRET aims to strike a note by delivering higher capacity, ability to support more users, and lowering the cost per bit by adopting technology trends widely accepted to form part of the 5G roadmap, through the deployment of new disruptive "femtocell" type cells on demand, to what we refer to as mobile small cells. This will be complemented by a wireless high-speed fronthaul to bridge the small cell network to the core. Moreover, novel techniques will be investigated, including "network coding", "cooperation", and "energy-aware smart front-end". Additionally, due to the confidential information that will be communicated over in future networks, a lightweight security framework built on secure network coding will be proposed.

Nowadays, mobile networks are complex sets of heterogeneous equipments that use proprietary management applications, resulting in a huge expenditure, a large effort and a time‐consuming process to manage all network elements by means of currently manual or semi‐automatical approaches. With the emergency of new technologies, such software‐defined networking, network function virtualization, and cloud computing, the current configurable networks are capable of becoming programmable, which will facilitate advanced autonomous network management. This article presents capabilities of a novel framework proposed by the SELFNET project that enables highly autonomic management functionalities. It focuses on the proposed self‐healing use case that can be applied to reactively or preventively deal with the detected or predicted network failures. The SELFNET can provide the upcoming 5G system: an autonomic management framework, which brings a remarkable reduction upon operational expenditure and a substantial improvement of quality‐of‐experience(QoE) in terms of reliability, availability, service continuity and security. Copyright © 2016 John Wiley & Sons, Ltd.

Ensuring enough network resources for all emerging 5G mobile services, with the advent of 5G will be vital. Network sharing is seen as one of the adopted technologies of 5G, to enhance resource utilization by optimizing resource usage among different operators. A key enabler for network sharing is virtualization. While virtualization of the core network has already been implemented in nowadays mobile networks, the virtualization of the Radio Access Network (RAN)is still an emerging research topic that is currently investigated with the aim of exploiting a fully virtualized mobile network. In this paper, we examine a 5G RAN perspective architecture that has the merit of being a Multi-RAT, Multi band V-RAN and using end user equipment as mobile small cells. We highlight its advantages, and identify how virtualization of RAN can lead to efficient RAN resource sharing. Finally, we anticipate how some virtualization functionalities should be extended to manage the particularity of the perspective RAN architecture.

No abstract

The emerging vehicular ad-hoc networks (VANETs) have paved the way to Cooperative Adaptive Cruise Control (CACC) applications. With such application, cars can travel in platoons with very small headways and thus achieve considerable capacity and fuel consumption gains. In order to ensure safety while exploiting such gains, intra/inter-platoon communications have to rely on a fast and reliable information exchange. Thus, it is important to define relaying schemes which can ensure that reliable platoon applications can be run over the unreliable wireless channel. In this paper, we propose a new dissemination algorithm for the DENMs over platoons, considering the leader as the only vehicle in charge of generating DENMs. Our dissemination algorithm is responsible for electing the vehicles among platoon members for relaying the DENMs. The reliability is met by a proper selection of the best relay based on bidirectional link quality and distance criteria. Unlike existing method for the estimation of the bidirectional link quality (BDSC), which is more suitable for unicast context, we propose an algorithm that accounts for the dissemination context in platoons. A performance comparison with four state-of-theart relaying approaches, based on simulations, shows the high performance of our approach in terms of end to end delay, reachibility, and average number of hops.