The number of joint research activities having both a theoretical and experimental component is very large. Most of them are inter-Track JRAs, as they were defined during the course of the project, and involve separate Tasks of the Newcom# WorkProgramme. Some others are not inter-Track, as they were devised at time of proposal and included in one single Task of Track2, though an evident theoretical component is present besides experimentation. Both categories are listed below, as both show how the NoE evolved towards a deep integration of the theoretical and experimental methodologies.Further details on their techinical contents and future plans can be found in deliverables D11.2, D12,2 and D13.2.



JRA_A: Enhanced NC-OFDM transmission with reduced spurious emission level and JRA 1.3.2B on advanced filtering and adaptive signal processing (OOB, PAPR, SIC).

WPs involved:WP2.1 and WP1.3

The accurate nonlinearity measurements of the typical experimental radio front-end, i.e. USRP, within WP 2.1 is used for algorithms development in WP 1.3. On the other hand, the spectrum shaping method proposed within WP1.3 is planned to be implemented within testbed in WP2.1.

JRA_B: Practical implementation of polar codes and JRA on spatial coupled codes.

WPs involved:WP2.1 and WP1.1

Polar Coding: this technique developed by Erdal Arikan has been awarded several IEEE prizes and is the focus of strong interest from large industrial players such as Huawei and Samsung. The initial work was inspired by discussions within NEWCOM#'s predecessor network NEWCOM. A startup company headed by Arikan is currently at the forefront of implementation efforts for polar codes over wireless channels including multi-terminal and multi-antenna scenarios and holds the majority of patents in the area.

JRA_G: Spectrum occupation measurements and database exploitation in collaboration with JRA 1.3.3A on interference management techniques for heterogeneous networks.

WPs involved:WP2.1 and WP1.3

In particular, the experimental results of the measurement campaign on TVWS done in WP2.1 are being used for the JRA 1.3.3.A activities. The measurements done are included in a REM 3D database with the received power level of DVB-T signals at different points inside a building. This information is used to determine the maximum allowed power levels that can be tolerated when deploying a small cell in an indoor scenario, either using the same channel as the DVB-T signal or an adjacent channel.

JRA_H: Impact of channel model in the performance evaluation of wireless systems in collaboration with JRA 1.3.1A on resource allocation and scheduling strategies for energy harvesting devices.

WPs involved:WP2.1 and WP1.3

The collaboration carries out research on an FPGA-based test bed and the specific applications are the energy profiling of the test bed and the implementation of some interference management techniques.

JRA#3: Experimental validation of information diffusion schemes for distributed non-asymptotic confidence region computation, and JRA 1.3.1B on energy-efficient data collection and estimation in wireless sensor networks

WPs involved:WP1.3 and WP2.2

The JRA investigates from a theoretical viewpoint energy efficient data collection schemes for WSNs and test them over the DATASENS platform at EuWIn@Bologna

JRA#3: Experimental verification of outliers detection techniques, and JRA 1.2.3-5: Energy-efficient data collection and estimation in wireless sensor networks

WPs involved:WP1.2 and WP2.2

One of the results of this JRA concerns fault detection in the WSN. To preserve the functionality of the WSN, it is important that measurements from misbehaving sensors are excluded from the computation of the global function. We devised a new distributed fault detection algorithm which allows each defective node to auto-diagnose and to shut immediately down. The algorithm exploits the group testing principle, and improves over state-of-the-art solutions, for a variety of statistical failure models and faulty nodes densities. Experimental validation of the results is carried on within WP2.2.



JRA_C: Assessment and development of multi-link channel models (WP2.1)

This Track2 JRA has several sub-JRAs included. Some of them have strong theoretical components, as they try to model through basic e.m. theory the behaviour of the channel in indoor environments accounting for room furniture, human density.

JRA_D: Channel models for cooperative positioning (WP2.1)

This Track2 JRA also has both theoretical and experimental components.

JRA_F : Design and experimental validation of algorithms for active and passive indoor positioning.

This Track2 JRA has a strong theoretical component as new indoor localisation algorithms are devised, and tested over the test beds made available by three partners of the NoE : CTTC, CNIT/BO and Bilkent.

JRA2.3.3.1: Localization with Distributed Antennas (WP2.3)

The JRA investigates localization algorithms for indoor using distributed antennas both from a theoretical and experimental viewpoint.


The JRA 1.2.2-1 (On the impact of sociality in multicast delay tolerant networks with adaptive infection recovery) has started in Y2 and will consolidate as an inter-track JRA between Track 1 and 2. In particular partners are collaborating with CNIT-BO to obtain a mathematical model of the data dissemination traces collected at EUCNC 2014 to incorporate the social mechanism into the mathematical model and do a comparison between theoretical and experimental results.


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