Wednesday, 19 June 2019, 12:30-13:00, Networking Area (Multi-purpose room 2)
A PN Code Design Based on Genetic Algorithm for Folding-Based GNSS Signal Acquisition
Keunhong Chae and Seokho Yoon (Sungkyunkwan University, Korea)
Although the acquisition of long pseudo-noise (PN) codes used in global navigation satellite systems can be faster by more folding, the number of folding is practically limited since the correlation property of the PN code could be more distorted for more folding, and consequently, the acquisition time could increase. In this paper, thus, we develop a PN code having a correlation property robust to the influence of the folding based on a genetic algorithm (GA), which allows us to use more folding for faster acquisition. Numerical results demonstrate that the proposed PN code achieves faster acquisition than the conventional PN codes.
Integration of Antenna Systems in Aeroframes for Seamless Communication and Connectivity
Marta Martínez-Vázquez, Jordi Balcells-Ventura, Jens Leiß and Rens Baggen (IMST GmbH, Germany); Jaco Verpoorte and Adriaan Hulzinga (National Aerospace Laboratory NLR, The Netherlands); Zdeněk Řezníček (Design and Engineering, Czech Republic)
This paper presents the work carried out in the H2020 ACASIAS project to integrate RF radiating structures into airframes. These integrated antennas will allow for SatCom connectivity in the Ku-band, GNSS navigation and air traffic control communication in the VHF band, while at the same time contributing to reduced drag, emissions, and maintenance costs.
Field Trial Test and Monitoring of W-band Point to Multipoint Wireless Network
Antonio Ramirez and Miguel Martinez (Fibernova Systems, Spain); Etienne Leder and Joel Willebois (BOWEN, France); François Magne (WHEN-AB & SARL, France); Frederic Andre (Thales Electron Devices, France); Quang Trung Le (HF Systems Engineering GmbH & Co. KG, Germany); Xavier Begaud (LTCI, Télécom ParisTech, Université Paris-Saclay, France); Viktor Krozer (Goethe University of Frankfurt am Main, Germany); Marc Marilier (OMMIC, France); Rosa Letizia (Lancaster University, United Kingdom (Great Britain)); Roberto Llorente (Universidad Politecnica de Valencia, Spain); Ralp Zimmerman (HF System Engineering, Germany); Claudio Paoloni (Lancaster University, United Kingdom (Great Britain))The H2020 TWEETHER project has produced the first ever point to multipoint wireless network at W-band (92 -95 GHz). The field trial of TWEETHER system was conducted in the campus of the Polytechnic University of Valencia (Spain). A campus-wide Gigabit Ethernet network interconnecting four different sites was deployed to provide round-the-clock out-of-band monitoring and continuous traffic generation to test the different wireless links.
Deep Learning to Forecast Energy Consumption in Smart Buildings Using Heterogeneous IoT Data Sources
Paulo Marques (Instituto Politecnico de Castelo Branco)
In the European Union, energy consumption in buildings represents about 40% of the total energy consumption. Accurate energy forecasting models is a key element of the building control and optimization process. The current research work is mainly focused on machine learning techniques with single time series data, i.e. using only historical energy consumption records. The research work presented in this paper combines data from heterogeneous IoT sensors and apply multivariate machine learning techniques for predictive building’s energy consumption. The algorithms are tested and validate using a smart building IoT testbed deployed in an office environment. It is shown that using heterogeneous data streams available in smart buildings we can improve the forecasting capabilities of buildings energy consumption.
Flow Table Overflow Analysis with OpenFlow POX Controller
Ying Qian (East China Normal University, P.R. China); Kai Qian, Hossain Shahriar and Md Arabin Islam Talukder (Kennesaw State University, USA)
The emerging Software Defined Networking (SDN) architecture is a new network paradigm and its implementation, OpenFlow, decouples the control plane from the data plane and revolutionizes the current network computing. However, SDN/OpenFlow also introduces new vulnerability and security issues and there is a growing security challenge due to the SDN centralized controllers and OpenFlow switch’s flow tables where the controllers need to closely work with. The limited flow table capacity of SDN/OpenFlow switches in memory is targeted by attacks. The flow table may be overflowed and the severe heavy packet-in/packet-out traffics between OFS and controller may paralyze the entire SDN. This paper analyzes the timeout impact on the flow table performance on Openflow POX controller in Mininet and proposes a new entry rule eviction algorithm to mitigate the SDN flow table overflow and improve the SDN performance.
Towards a Distributed Authentication and Authorization Mechanism via Blockchain in 5G Energy Applications
Wafa Ben Jaballah (Thales, France); Artemis Voulkidis (Power Operations Ltd, UK)
5G being close to commercial launch in various places across the globe, many innovative applications targeting at realising the connected world paradigm rapidly emerge. Identity management and flexible, yet trustworthy, access control lie in the core of the cybersecurity assurances that 5G should provide to guarantee operational sustainability. In this paper, a distributed attribute-based access control scheme is presented, operated on top of distributed ledgers and targeting at 5G- enabled smart energy networks. The proposed scheme is packaged as a virtual network function, allowing for swift deployment in modern telco virtualisation environments either at the backbone or at the edge of the communication networks.
Use Case Representations of Connected and Automated Driving
Kai Cordes (VISCODA GmbH, Germany); Bastian Cellarius (Ericsson, Germany); Tobias Frye (Robert Bosch GmbH, Germany); Stephan Saur and Juergen Otterbach (Nokia Bell Labs, Germany); Mathieu Lefebvre and Frédéric Gardes (Orange, France); Mikael Fallgren (Ericsson Research, Sweden); Jérôme Tiphène (Groupe PSA, France)
Cooperative and connected V2X applications drive further improvements of advanced driver assistance systems (ADAS) and automated driving. Three different use cases showing new applications are demonstrated within the 5GCAR project: lane merge coordination, cooperative perception for maneuvers of connected vehicles, and vulnerable road user protection. These use case representatives on the one hand will be demonstrated mid-2019 on a test track, and on the other hand serve as platforms for evaluating key performance indicators (KPI) of the developed implementations.
Contribution to the Analysis of the Lifetimes of Well Functioning of Wireless Sensor Networks Application on 5G Infrastructure
Amal Chaffai (Universidad Politecnica de Valencia, Spain)
Seamless connection in (Io T) lead to have the 5G effective. The flexibility in 5G technology, consist in a device will be able to maintain network connectivity regardless human intervention. Nevertheless, uneven energy depletion causes energy holes and leads to degraded network performance. The reduction of energy consumption that affects maximization network lifetime has become a major challenge in the wireless sensor networks. Wherefore, this contribution aims to analyze the energy consumption of the wireless sensor networks.
Cognitive, Multi-Domain Network Slicing: The SliceNet Framework
Pedro Neves (Altice Labs, Portugal); Jose Maria Alcaraz Calero (University of the West of Scotland & School of Engineering and Computing, United Kingdom (Great Britain)); Qi Wang (University of the West of Scotland, United Kingdom (Great Britain)); Giacomo Bernini and Pietro Giardina (Nextworks, Italy); Salvatore Spadaro (Universitat Politecnica de Catalunya (UPC), Spain); Fernando Agraz (Universitat Politècnica de Catalunya, Spain); Albert Pagès (Universitat Politècnica de Catalunya (UPC), Spain); Dean H Lorenz (IBM Research – Haifa, Israel); Konstantinos Koutsopoulos (Creative Systems Engineering, Greece); Ciriaco Angelo (Ericsson, Italy); Navid Nikaein (Eurecom, France); Thuy Truong (Dell EMC, Ireland); Cristian Patachia (Orange Romania SA, Slovenia); Marius Iordache (Orange, Romania); Imen Grida Ben Yahia (Orange Labs, France); George Agapiou (Hellenic Telecommunications Organization, Greece); Ricardo Figueiredo (Redzinc, Ireland); Mark F Roddy (Cork Institute of Technology, Ireland); Ana Aleixo (Efacec Energia, Portugal)
Cognitive, multi-domain network slicing can truly fulfil the diverging requirements of vertical businesses with Quality of Experience (QoE) awareness, as well as improve the quality of operation for network operators and service providers in 5G and beyond networks. This poster presents the latest vision of the ongoing EU 5G PPP SliceNet project in addressing this ambitious goal. The updated SliceNet framework architecture is introduced, and a case study is presented to illustrate some of the key technical approaches in multi-domain network slicing, QoE optimisation, QoS control, cognition and policy framework, plug and play control, one-stop API for verticals and so on.
Multi-Sensor Assisted Cooperative Beam Tracking for mmWave Vehicle-to-Vehicle Communication
Mattia Brambilla, Lorenzo Combi, Monica Nicoli, Sergio Savaresi and Umberto Spagnolini (Politecnico di Milano, Italy)
This paper presents an inertial measurement assisted technique for beam alignment and tracking in massive multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) communications based on millimeter waves (mmWave). Since directional communications in vehicular scenarios are severely hindered by beam pointing issues, a beam alignment procedure has to be periodically carried out to guarantee the communication reliability. When dealing with massive MIMO links, the beam sweeping approach is known to be time consuming and often unfeasible due to latency constraints. To speed up the process, we propose a method that exploits a-priori information on array dynamics provided by an inertial measurement unit on transceivers to assist the beam alignment procedure. Numerical results based on real measurements of on-transceiver accelerometers demonstrate a significant gain in terms of V2V communication throughput with respect to conventional beam alignment protocols.
Prototyping LTE-WiFi Interworking on a Single SDR Platform
Vincent Kotzsch, Clemens Felber and Walter Nitzold (National Instruments, Germany)
Driven by the growing number of connected devices, the coordination and coexistence of heterogeneous wireless technologies such as LTE, WiFi as well as 5G has become a key research area today. In this poster we will specifically discuss a prototyping system focusing on the joint real-time experimentation of LTE and WiFi systems utilizing a single software-defined radio platform. This platform allows new experimentation results that will lead to a better understanding of the trade-offs when using different radio access technologies together as it would be the case in practical wireless network deployments.
Evaluation of LoRa Technology Performance in a City-wide Testbed
Giannis Kazdaridis (University of Thessaly, Greece); Stratos Keranidis (University of Thessaly and CERTH, Greece); Polychronis Symeonidis, Panagiotis Tzimotoudis, Ioannis Zographopoulos, Panagiotis Skrimponis and Thanasis Korakis (University of Thessaly, Greece)
In this paper, we present a LoRa based city-scale testbed that employs several sensing devices scattered across the urban area to characterize air quality and weather conditions in real-time. The installation is augmented through a custom link quality evaluation framework that continuously monitors the Packet Delivery Ratio versus RSSI relation to characterize the performance of LoRa standard under realistic conditions. Experimental results collected over a period of 2 months, efficiently analyze LoRa’s performance across a wide range of protocol configurations. Finally, we also present in-lab experiments that characterize the efficiency of LoRa modules in terms of power and energy efficiency per bit, along with valuable insights aimed at the development of energy efficient protocol improvements.
LORNO – An Industrial Grade Wireless Sensor Network for Leakage Detection and Localization in Water Distribution Networks
Damien Piguet (Centre Suisse d’ Electronique et de Microtechnique, Switzerland); Urs Riesen (HINNI AG, Switzerland)
This paper presents LORNO, a self-organized, multi-hop Wireless Sensor Network dedicated to the detection and localization of leaks in public water distribution networks. Power-aware protocols provide advanced features such as self- organization and accurate time synchronization which translates to +/- 5 m leak localization accuracy. Power savings allow well beyond 5 years of battery life. The technology is mature and operates successfully in several Swiss and European water networks.
Smart Highway: ITS-G5 and C-V2X Based Testbed for Vehicular Communications in Real Environments Enhanced by Edge Technologies
Johann M. Marquez-Barja (University of Antwerpen & IMEC, Belgium); Bart Lannoo (University of Antwerp – imec, Belgium); Dries Naudts (Ghent University & Imec, Belgium); Bart Braem (University of Antwerp – imec, Belgium); Carlos Donato (University of Antwerp – imec, IDLab Research Group, Belgium); Vasilis Maglogiannis (University of Ghent & IBCN Research Group, Belgium); Siegfried Mercelis (University of Antwerp & imec IDLab, Belgium); Rafael Berkvens (University of Antwerp – imec, Belgium); Peter Hellinckx (University of Antwerp, Belgium); Maarten Weyn (University of Antwerp – imec, Belgium); Ingrid Moerman (Ghent University – imec, Belgium); Steven Latré (University of Antwerp – imec, Belgium)
IMEC is building its Smart Highway testbed for vehicle-to-everything (V2X) communication, located in Belgium. The Antwerp Smart Highway test site is being built on the E313 highway and shall be extended to the (urban) road network ensuring a connection to the Antwerp / IMEC ‘Smart Cities’ initiative – providing a mixed environment for testing various V2X communication protocols and autonomous car functionalities. The testbed can be considered as a platform for (1) V2X connectivity, (2) Edge computing, and (3) precise positioning.
Particles Traces Classification by a Spiking Neural Network Running on a Distributed Simulator
Rodolfo Rocco (University of Antwerp & Imec, Belgium)
Neural networks have been employed in the field of high energy physics both as online triggers and for offline data analysis. In the latter case, deep networks of artificial neurons are commonly employed, due to the great accuracy achieved in pattern recognition tasks. However, the simulation of these networks necessitates the computational power of GPU servers, thus incurring high operational costs for the hosting institution. To address this issue, we propose a new approach, in which the simulation is run by a network of peer-to-peer connected IoTs appliances. To illustrate this approach, a simulator for the Android platform was developed. A case study is presented, in which particles traces of two different kinds, produced either by muons or by electrons, must be classified. A network of spiking neurons, distributed among three smartphones, was trained with 100 pictures and was capable of correctly classifying 97% of the test dataset. The pictures were captured by the camera sensors of the same smartphones that simulated the network. This result shows how the proposed approach is successful in distributing the simulation of a machine learning task and its associated costs, while also showcasing the potential for further cost reduction by integration of the data acquisition and elaboration layers.
Downlink Multicarrier Distributed Antenna Systems for Indoor Industrial Internet of Things
Wooram Shin (Electronics and Telecommunications Research Institute, Korea); Seokki Kim (ETRI, Korea); Joonhyuk Kang (KAIST, Korea)
We investigate a downlink multicarrier distributed antenna system (DAS) for indoor industrial internet of things in order to meet ultra-reliable and low-latency requirement by exploiting space and frequency diversity. A DAS transmission strategy where a small number of selected distributed antenna panels are cyclically allocated every group of resources to transmit a codeword is proposed, and it is shown that its 1 %ile SINR performance to satisfy the required SINR for 10-7 of BLER within 1 ms of latency (including processing delay) is superior to typical multi-cell and co-located antenna systems.
LoRa Physical Layer Evaluation for Point-to-Point Links and Coverage Measurements in Diverse Environments
Gilles Callebaut, Guus Leenders, Stijn Crul and Chesney Buyle (KU Leuven, Belgium); Liesbet Van der Perre (KUL, Belgium)
Applications such as tracking livestock, monitoring the health of trees and environmental parameters, and other IoT services are emerging leveraging on Low Power Wide Area Networks. However, many of these applications do not require the complete network infrastructure of these technologies. By only employing the physical layer, point-to-point links can be set up, easing the installation and lowering the overall cost of these systems. In this paper, the advantages of creating such point-to-point LoRa connections over typical star networks is discussed. The physical layer is evaluated in three distinct environments, i.e., coastal, forest and urban. Our field measurements demonstrate coverage up to 1km with antennas at only 1.5m height in an urban scenario. In free Line-of-Sight this coverage is extended to 4km. The presented heatmap of the received signal strength and signal-to-noise ratio demonstrates the value of LoRa point-to-point connections in these environments. Based on the experimental results, an appropriate path loss model will be derived in future work.