Research and education in the Laboratory for Computer-aided design in communications in Technical University-Sofia

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Research and education in the Laboratory for Computer-aided design in communications in Technical University-Sofia Galia Marinova, associate professor, Ph.D. Technical University Sofia, Kick-off Meeting for CEEPUS Network: CIII-BG-1103-01-1617 05-09 October 2016, Technical University-Sofia, Bulgaria

TECHNICAL UNIVERSITY-SOFIA 70 years old, 14 faculties Faculty of Automatics Faculty of Electrical Engineering Faculty of Power Engineering and Power Machines Faculty of Industrial Technology Faculty of Mechanical Engineering Faculty of Electronic Engineering and Technologies Faculty of Telecommunications B, M, Ph.d., 200 B. Faculty of Computer Systems and Control Faculty of Transport Faculty of Management Faculty of Applied Mathematics and Informatics German Engineering Education and Industrial Management French Faculty of Electrical Engineering Faculty of English Language Faculty of Engineering 05-09 October 2016, Technical University-Sofia, Bulgaria 2/27

COURSES Computer-aided design Bachelor in Telecommunications, compulsory Computer-aided design of digital communication circuits with VHDL, Bachelor in Telecommunications, optional Nanocommunication devices and networks Master Microtechnologies and nanoengineering, compulsory Internet based Computer-aided design, Master in Telecommunications, optional 05-09 October 2016, Technical University-Sofia, Bulgaria 3 3/27

Outline Recent research projects: Research on pseudo random bit sequences for compressive sensing applications with University of Sannio, Benevento, Italy Online assisted platform and Cloud technologies for Computeraided design of communication circuits and systems USRP-based SDR for cognitive radio: Platform for cooperative spectrum sensing and primary user localization with CENTRALE- SUPELEC, Rennes, France, www.phcrila15.free.bg Optimization in smart microgrid scheduling Erasmus+ CEEPUS 05-09 October 2016, Technical University-Sofia, Bulgaria 4 4/27

1. Research on PRBS for compressive sensing applications The quality of random signals determines the signal quality reconstruction in compressive sensing. M-sequences, Kasami, Golden pseudorandom bit sequences and random generator circuits are studied through NIST test suite in order to estimate their abilities to be used for Analog toinformation converters and sub-nyquist communication receivers based on compressive sensing. Golden sequence has proven to pass all NIST tests and to improve with 3 to 5 db the SNR of AIC, compared to MATLAB PRSG. 05-09 October 2016, Technical University-Sofia, Bulgaria 5 5/27

NIST test suit 15 tests for randomness http://csrc.nist.gov/groups/st/toolkit/rng/documents/sp800-22rev1a.pdf Tests on Zedboard, VIVADO (XILINX) Galia Marinova, assoc. professor, Ph.D. Technical University Sofia, Kick-off Meeting for CEEPUS 6 Network: CIII-BG-1103-01-1617 05-09 October 2016, Technical University-Sofia, Bulgaria 6/27

Circuits for Gold sequence and Marsenne Twister (MATLAB) Gold sequence generator for the preferred pair g 1 (x)=x 3 +x+1 g 2 (x)=x 3 +x 2 +1 S.Kalita, P.Salun, A New Modified Sequence Generator for Direct Sequence Spread Spectrum (DSSS), NCECS, September, 2011 High Level Block diagram of Marsenne Twister A. Jagannatam, Marsenne Twister a pseudo random number generator and its variants, cryptography.gmu.edu/~jkaps/download.php MT works in 2 steps: recurring (form of LFSR) and tempering (multiplying by a Tempering matrix T for a better equidistribution). 7 05-09 October 2016, Technical University-Sofia, Bulgaria 7/27

2. Online assisted platform and Cloud technologies for Computer-aided design of communication circuits and systems This platform is developed to integrate more than 250 online tools, which are first studied, tested, selected and provided with unified passports in order to be used for solving design tasks in communications. Cloud technologies are used to share designs and documents connected to the use of the tools integrated in the platform. 05-09 October 2016, Technical University-Sofia, Bulgaria 8 8/27

Structure of ONLINE-CADCOM Panels on the home page 05-09 October 2016, Technical University-Sofia, Bulgaria 9 9/27

SmartCircuitCalc Online circuit calculator G. Marinova, V. Guliashki, O. Chikov, Concept of Online Assisted Platform for Technologies and Management in Communications OPTIMEK, International Conference in Computer Science, Information System and Telecommunication, ICCSIST 2014, 7-9 November 2014, Durres, Albania, 2014, pp.55-62, ISBN 978-9951-437-31-8 Hartley oscillator circuit designed in SmartCircuitCalc and then simulated in ORCAD/Capture and ORCAD/PSpice environment 05-09 October 2016, Technical University-Sofia, Bulgaria 10 10/27

Home page of the Platform Online CADCOM (developed on a virtual server) 05-09 October 2016, Technical University-Sofia, Bulgaria 11 11/27

3. USRP-based SDR for cognitive radio The spectrum sensing aims to find spectrum holes and to decide whether this part of spectrum is available or not at a particular instant of time. Hardware implementation for CSS with more than 3 SUs with different performance, treating outlying signals, testing different scenarios in the FC, tending to estimate and overcome uncertainty. The CSS implementation is centralized with hard decision algorithm in the FC. 05-09 October 2016, Technical University-Sofia, Bulgaria 12 12/27

Cooperative Spectrum Sensing Reliable spectrum sensing is not always guaranteed due various factors, such as: Multipath fading Shadowing Receiver uncertainty Interference Reference: Cooperative spectrum sensing in cognitive radio networks: A survey Ian F. Akyildiz, Brandon F. Lo, Ravikumar Balakrishnan 05-09 October 2016, Technical University-Sofia, Bulgaria 13 13/27

Centralized model of cooperative sensing system The FC combines sensing results and makes the global decision by AND, OR and MAJORITY rule. 05-09 October 2016, Technical University-Sofia, Bulgaria 14 14/27

Test Bed transmitter - PU A signal generator SMY01 9 khz 1.040 GHz Rohde & Schwarz is used as a transmitter PU. The generator is set to a carrier frequency of 433MHz, with FM modulation with a deviation 200 khz. The generator provides values with different power of the transmitted signal in the range 30 dbm to 10 dbm with a step of 2 dbm/5 dbm. 05-09 October 2016, Technical University-Sofia, Bulgaria 15 15/27

Test Bed receivers 4SUs The receivers are implemented with 4 USRP N210 of Ettus Research (NI), connected to a host PC via Gigabit Ethernet, with GNU Radio and ED block installed. 1 SU is behind a screen. 05-09 October 2016, Technical University-Sofia, Bulgaria 16 16/27

Pd(SNR) curves for all 4 SUs 05-09 October 2016, Technical University-Sofia, Bulgaria 17 17/27

Analysis of results for 4 SUs Good illustration of the need of selection procedure in the FC for security and reliability reasons. Outliers and sharply differing curves have to be discarded to avoid skewed result for the global decision. The criterion for discarding SUs with invariant curves by the FC, before decision making, is applied. So, the global decision, taken by the FC is based on results from SU1, 2, 4. Three SUs, often used in cooperative sensing experiments are enough to give meaningful results for MAJORITY function, which is not possible with 2 SUs. 05-09 October 2016, Technical University-Sofia, Bulgaria 18 18/27

Flowgraph in GNU radio for global decision taking in FC, using the function OR on the local decisions of SUs 05-09 October 2016, Technical University-Sofia, Bulgaria 19 19/27

Results for CSS Pd(SNR) curves of the 3 SUs, selected by the FC and the Pd(SNR) curves of the FC when using functions OR, AND, MAJORITY on the local decisions of these 3 SUs. MATLAB simulation curve as reference. The results obtained after 100 minutes long simulation on a notebook. 20/27 05-09 October 2016, Technical University-Sofia, Bulgaria 20

Analysis of results for CSS OR function gives the best result in this particular experience. The yellow curve comes from simulation in MATLAB and it s given as reference. The results fully correspond to theory. Functions OR and MAJORITY in FC decision allow to overcome the late detection from SU1 which is behind the screen. The MAJORITY curve is the closest to the MATLAB simulation curve and it's the recommended function for the FC since the risk in the OR function is that in case of false alarm in only one SU, it will be transmitted to the FC decision. Zdravka Tchobanova, Galia Marinova, Amor Nafkha, Cooperative Spectrum Sensing with Energy Detector Implemented on USRP and GNU Radio Platform, The Twelfth Advanced International Conference on Telecommunications. AICT 2016, May 22-26, 2016 - Valencia, Spain 21 05-09 October 2016, Technical University-Sofia, Bulgaria 21/27

4. Optimization algorithms for scheduling in Smart Microgrids 05-09 October 2016, Technical University-Sofia, Bulgaria 22 22/27

Microgrid 05-09 October 2016, Technical University-Sofia, Bulgaria 23 23/27

Results of Simulations with GridLab-D Energy optimization of battery schedule Economic optimization of battery schedule 05-09 October 2016, Technical University-Sofia, Bulgaria 24 24/27

Erasmus+ Students from India on internship in TUS 2015, US, Benevento 2016, US, Benevento 2015, Sofia, 2015 Galia Marinova, assoc. professor, Ph.D. Technical University Sofia, Kick-off Meeting for CEEPUS 25Network: CIII-BG-1103-01-1617 05-09 October 2016, Technical University-Sofia, Bulgaria 25/27

05-09 October 2016, Technical University-Sofia, Bulgaria 26 26/27