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We target the evaluation of a Superfluid 5G network from an economic point of view. The considered 5G architecture has notably features, such as flexibility, agility, portability and high performance, as shown by the H2020 SUPERFLUIDITY project. The proposed economic model, tailored to the Superfluid network architecture, allows to compute the CAPEX, the OPEX, the Net Present Value (NPV) and the Internal...
Cervical nuclei carry substantial diagnostic information for cervical cancer. Therefore, in automation-assisted reading of cervical cytology, automated and accurate segmentation of nuclei is essential. This paper proposes a novel approach for segmentation of cervical nuclei that combines fully convolutional networks (FCN) and graph-based approach (FCNG). FCN is trained to learn the nucleus high-level...
The size of data chunk diverges from 101 to 1010 bits. Generally, if a network carries in a way both of big size data and small size data, the performance is extremely degraded by the big size data. Then, we propose to select a wireless cell among of multiple cells by referring context information such as data size and user's situation such as moving velocity. Especially, we show the improvement on...
Today, the dominant deployment model of cloud infrastructures consists in having few large datacenters (DCs) from where cloud services are delivered for different needs (service platforms, cloud services for external customers, information system applications, etc.). This model is being challenged today by new emerging needs (IoT applications, NFV services, Mobile edge computing, etc.) requiring the...
To enable safe motion planning in a dynamic environment, it is vital to anticipate and predict object movements. In practice, however, an accurate object identification among multiple moving objects is extremely challenging, making it infeasible to accurately track and predict individual objects. Furthermore, even for a single object, its appearance can vary significantly due to external effects,...
Recently, several fast speaker adaptation methods have been proposed for the hybrid DNN-HMM models based on the so-called discriminative speaker codes (SC) [1-3] and applied to unsupervised speaker adaptation in speech recognition [4]. It has been demonstrated that the SC based methods are quite effective in adapting DNNs even when only a very small amount of adaptation data is available. However,...
In the context of the dataflow process network mapping problem, we propose a parallel solutionmethod based on a semi-greedy heuristic to improve the solution quality of a greedy regret-based mapping algorithm (RBA). In this method, several executions of a randomized version of RBA are performed in parallel togenerate different solutions. We exploit a correlation between solution quality and execution...
The current LTE network architecture experiences high level of signalling traffic between control plane entities. As a result many innovative architectures have been proposed including SDN to simplify the network. Cloud RAN on the other hand proposes a pioneering paradigm in terms of sustaining the profitability margin with unprecedented surge of mobile traffic and providing better performance to...
A promising architecture for content caching in wireless small cell networks is storing popular files at small base stations (sBSs) with limited storage capacities. Using localized communication, an sBS serves local user requests, while reducing the load on the macro cellular network. The sBS should cache the most popular files to maximize the number of cache hits. Content popularity is described...
Scientific literatures contain some academic knowledge which is interesting or valuable but previously unknown. For instance, an algorithm A proposed in one article might have association with algorithm B in another article, while algorithm B is designed based on the definition of C in a third article. Thus we can deduce the relationship A-C based on A-B and B-C. There are also other kinds of academic...
In this paper, we will first motivate the heterogeneous network as an evolutionary path to the fifth generation (5G) communications. We then present an agile software defined heterogeneous network architecture which virtualizes the various radio access networks such as cellular basestations and Wi-Fi access points and the various carrier frequencies from both licensed and unlicensed bands. The software...
Small cell network strategies are applied for providing enhanced coverage and maximizing system capacity in the network. In such an environment, substantial growth of signalling load on the Core Network (CN) can be caused by reduced cell size, increased user density and increased user velocity. In this paper, in order to reduce the signalling load incurred by path switching operations in the small...
With the advent of next-generation mobile devices, wireless networks must be upgraded to fill the gap between huge user data demands and scarce channel capacity. Mm-waves technologies appear as the key-enabler for the future 5G networks design, exhibiting large bandwidth availability and high data rate. As counterpart, the small wave-length incurs in a harsh signal propagation that limits the transmission...
Change data capture (CDC) is an approach to data integration that is used to determine and track the data that has changed so that action can be taken using the change data. However, the state of art of change data capture (CDC) in the context of document-oriented NoSQL databases is not mature. Therefore, it is urgent to require a NoSQL CDC solution. Although some manufacturers of NoSQL databases...
Pedestrian detection is of crucial importance to autonomous driving applications. Methods based on deep learning have shown significant improvements in accuracy, which makes them particularly suitable for applications, such as pedestrian detection, where reducing the miss rate is very important. Although they are accurate, their runtime has been at best in seconds per image, which makes them not practical...
The demonstrator shows a self-management system for heterogeneous mobile wireless networks that uses context-specific and weighted Key Performance Indicator (KPI) target values defined by the operator to automatically and autonomously configure and control the operation of Self-Organising Network (SON) functions such that they contribute to achieving these KPI targets by appropriately optimising the...
This paper presents the study of the relationship between Autonomic Network Management (ANM) and Software-Defined Networking (SDN) under the prism of Long Term Evolution (LTE) Self-Organizing Networks (SONs). The ANM and SDN paradigms, besides sharing a few common goals, have shown to be complementary to each other in terms of level of abstractions and expectations. In particular, we consider the...
Existing RNS implementations of modular multiplication employ Montgomery's technique, especially in cryptography where consecutive multiplications of large integers are used for exponentiation. This work deviates from these approaches and an RNS architecture of Barrett's modular multiplication algorithm is presented. An algorithmic and architectural comparison with the state-of-the-art solutions shows...
To optimize their networks, Telecom operators tend to use the quality of Service (QoS) differentiation in order to ensure fair use and sufficient capacity. In this study, the economic impact of QoS differentiation mechanism implementation in 3G network for streaming flows is assessed according to QoS satisfaction constraint. Two approaches are developed through different scenarios. In the first case,...
3rd Generation Partnership Project (3GPP) proposes relay architecture to extend the coverage and enhance the system capacity of Long Term Evolution Advanced (LTE-A). In the relay architecture, the header compression mechanism called RObust Header Compression (ROHC) is introduced to eliminate packet overhead and provide better spectral efficiency for IP packet transmission over the radio. However,...
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