Browsing by Author "Turyagyenda, Charles"

Now showing 1 - 7 of 7
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    Cloud RAN and MEC: A Perfect Pairing
    (ETSI MEC, 2018) Reznik, Alex; Murillo, Luis Miguel Contreras; Fontes, Francisco; Turyagyenda, Charles; Wehner, Christof; Zheng, Zhou
    CRAN and MEC are highly complementary technologies. Collocating these helps make the economics of each of them significantly more attractive. Collocating CRAN and MEC also helps an MNO to support (and generate revenue from) some of the key 5G applications that it would not be able to support otherwise. However, to realize these advantages, mobile operators have to overcome challenges associated with co location, as well as maximize the return that can be made from MEC. We identify and discuss challenges in the management, security, networking and regulatory domains. We argue that these issues are surmountable and the industry is well-positioned to deploy this potentially revolutionary new technology. Moreover collocation can also enable MEC services (e.g. the ETSI defined Radio Network Information API, Location API, UE Identity API and Bandwidth Management API) to exploit CRAN and enable MEC applications to exploit CRAN information. Mobile operators could, for example, resolve the management complexities associated with multiple IaaS stacks, while monetizing services like RNIS, which are unique to MEC edge clouds.
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    An Edge and Fog Computing Platform for Effective Deployment of 360 Video Applications
    (IEEE., 2019) Rigazzi, Giovanni; Kainulainen, Jani-Pekka; Turyagyenda, Charles; Mourad, Alain; Ahn, Jaehyun
    Immersive video applications based on 360 video streaming require high-bandwidth, high-reliability and low-latency 5G connectivity but also flexible, low-latency and cost-effective computing deployment. This paper proposes a novel solution for decomposing and distributing the end-to-end 360 video streaming service across three computing tiers, namely cloud, edge and constrained fog, in order of proximity to the end user client. The streaming service is aided with an adaptive viewport technique. The proposed solution is based on the H2020 5G-CORAL system architecture using micro-services-based design and a unified orchestration and control across all three tiers based on Fog05. Performance evaluation of the proposed solution shows noticeable reduction in bandwidth consumption, energy consumption, and deployment costs, as compared to a solution where the streaming service is all delivered out of one computing location such as the Cloud.
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    Energy Efficiency and Spectral Efficiency Trade-off of a Novel Interference Avoidance Approach for LTE-Femtocell Networks
    (IEEE., 2012) Wang, Siyi; Turyagyenda, Charles; O’Farrell, Tim
    The trade-off between energy efficiency and downlink spectral efficiency for LTE-femtocells can be significantly balanced by a novel interference management technique in the presence of the interference from the co-channel outdoor micro-cell and the neighbouring femtocell access points. The simulation results have been demonstrated to be meaningful in the context of considering capacity saturation of realistic modulation and coding schemes rather than theoretical Shannon's equation. The paper shows that the radio-head and operational improvement of up to 12% and 3% can be achieved. Moreover, it has been shown that the improvement does not significantly degrade the user's data rate and the proposed scheme can be implemented in unplanned self- organising networks.
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    Integrated Cross-Layer Energy Savings in a Smart and Flexible Cellular Network
    (IEEE., 2012) Guo, Weisi; Wang, Siyi; Turyagyenda, Charles; O’Farrell, Tim
    A key challenge for mobile operators is how to reduce the operational energy and cost expenditure, whilst meeting the growing demand for throughput. In recent years, individual research techniques have shown that significant savings can be made. The majority of savings are achieved in the signal transmission stage and are obtained under certain modeling conditions and assumptions. How the gains can be combined together to yield higher total operational savings is largely unexplored, especially under a realistic multi-cell multi-user environment. This paper employs an integrated analysis of the cross-layer techniques that reduce energy consumption or improve the spectral- and energy- efficiency tradeoff. The research is part of the key integration process of the MVCE Green Radio (GR) programme, which combines architecture, transmission technique, resource management, and hardware research. The integrated operational energy savings have been shown to be above 90% and the associated cost savings are up to 34%. Furthermore, the paper discusses the impact of machine-learning and energy harvesting on the energy and cost consumption, to create a smart and flexible cellular network.
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    Orchestration of End-to-End Network Services in the 5G-Crosshaul Multi-Domain Multi-Technology Transport Network
    (IEEE Communications Magazine, 2018) Baranda, Jorge; Mangues-Bafalluy, Josep; De la Cruz, Juan Luis; Casellas, Ramon; Vilalta, Ricard; Salvat, Josep X.; Turyagyenda, Charles
    Upcoming 5G mobile networks are addressing ambitious KPIs not just in terms of capacity and latency, but also in terms of network control and management. In this direction, network management schemes need to evolve to provide the required flexibility, and automated and integrated management of 5G networks. This also applies to the 5G-Crosshaul transport network, which provides an integrated fronthaul and backhaul. Software defined networking and NFV are seen as key enablers for that. This article validates the flexibility, scalability, and recovery capabilities of the 5G-Crosshaul architecture in a testbed distributed geographically. More specifically, the central component of the validation is the hierarchical 5G-XCI, conceived to handle multi-domain multi-technology transport network resources. Its performance is characterized through two experimental case studies. The first one illustrates the automated provisioning of all network resources required to deploy a complete LTE virtual mobile network featuring fronthaul and backhaul configurations. This takes 10.467 s on average for the network under test. The second one exploits the flexibility of the hierarchical XCI to apply local or centralized service recovery in the event of link failure depending on the desired path optimality vs. recovery time trade-off. On average, recovery takes 0.299 s and 6.652 s, respectively. Overall, the proposed solution contributes to attaining the target set for 5G networks of reducing service setup from hours to minutes.
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    QoE-Oriented Mobile Edge Service Management Leveraging SDN and NFV
    (Mobile Information Systems, 2017) Peng, Shuping; Fajardo, Jose Oscar; Ruiz, Cristina; Turyagyenda, Charles; Wilson, Mick; Vadgama, Sunil
    5G envisages a “hyperconnected society” where trillions of diverse entities could communicate with each other anywhere and at any time, some of which will demand extremely challenging performance requirements such as submillisecond low latency. Mobile Edge Computing (MEC) concept where application computing resources are deployed at the edge of the mobile network in proximity of an end user is a promising solution to improve quality of online experience. To make MEC more flexible and cost-effective Network Functions Virtualisation (NFV) and Software-Defined Networking (SDN) technologies are widely adopted. It leads to significant CAPEX and OPEX reduction with the help of a joint radio-cloud management and orchestration logic. In this paper we discuss and develop a reference architecture for the orchestration and management of the MEC ecosystem. Along with the lifecycle management flows of MEC services, indicating the interactions among the functional modules inside the Orchestrator and with external elements, QoS management with a focus on the channel state information technique is presented.
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    Security Analysis of Mobile Edge Computing in Virtualized Small Cell Networks
    (Springer International Publishing., 2016) Vassilakis, Vassilios; Chochliouros, Ioannis P.; Spiliopoulou, Anastasia S.; Turyagyenda, Charles; Dardamanis, Athanassios
    Based upon the context of Mobile Edge Computing (MEC) actual research and within the innovative scope of the SESAME EU-funded research project, we propose and assess a framework for security analysis applied in virtualised Small Cell Networks, with the aim of further extending MEC in the broader 5G environment. More specifically, by applying the fundamental concepts of the SESAME original architecture that aims at providing enhanced multi-tenant MEC services through Small Cells coordination and virtualization, we focus on a realistic 5G-oriented scenario enabling the provision of large multi-tenant enterprise services by using MEC. Then we evaluate several security issues by using a formal methodology, known as the Secure Tropos.