This paper proposes the Hybrid Domain Discovery Protocol (HDDP), a new lightweight discovery protocol that outperforms the existing OpenFlow Discovery Protocol (OFDP). HDDP allows the discovery of hybrid network topologies composed of both SDN and non-SDN devices
This pdf file contains supplementary information to a published article, "Early Warning of mmWave Signal Blockage and AoA Transition Using sub-6 GHz Observations," by Ziad Ali, Alexandra Duel-Hallen and Hans Hallen, published in IEEE Communications Letters, 2019.
This work introduces an E-plane hollow waveguide antenna array feeding network to feed 4 units of 2x2 sub-arrays as aperture elements. The feeding network and the sub-arrays are built as one object and fabricated using 3D-printing technology. The material used in 3D-printing is polymer and the cavity of the antenna array with the feeding network were metalized using sufficient layer of conductive silver epoxy. The introduced design exhibits an 18% bandwidth at center frequency of 14 GHz with a gain of 16 dBi.
These are the optimized excitation currents obtained by different algorithms.
This data set provides experimental results for the analysis of extreme values of trilateration localization error in wireless communication systems. The analysis is based upon the analytical model of trilateration localization error described and discussed in the manuscript titled "An Analytical Model of Trilateration Localization Error".
In order to increase the diversity in signal datasets, we create a new dataset called HisarMod, which includes 26 classes and 5 different modulation families passing through 5 different wireless communication channel. During the generation of the dataset, MATLAB 2017a is employed for creating random bit sequences, symbols, and wireless fading channels.
These files are used for reivision
FIWARE Innovation Arena ideas submitted, including text and images
Network traffic analysis, i.e. the umbrella of procedures for distilling information from network traffic, represents the enabler for highly-valuable profiling information, other than being the workhorse for several key network management tasks. While it is currently being revolutionized in its nature by the rising share of traffic generated by mobile and hand-held devices, existing design solutions are mainly evaluated on private traffic traces, and only a few public datasets are available, thus clearly limiting repeatability and further advances on the topic.
