topics for the mscsp advanced research projects · topics for the mscsp advanced research projects....
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22.08.2016 Page 1
Topics for the MSCSP
Advanced Research Projects
Winter Semester 2016/2017
Selection of topics and submission of topic sheets until
October 25, 2016
15.08.2013 Page 2
Department of Electrical Engineering and Information Technology
Institute for Information Technology
Lab: Communications Research Laboratory
Head: Prof. Dr.-Ing. Martin Haardt
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Responsible Professor:Research Advisor:E-Mail:
Prof. Martin HaardtM.Sc. Jens [email protected]
• Description:In recent studies, it was shown that parameter estimation methods based on a sparserepresentation of the sensor measurements with an overcomplete basis composed of samplesfrom the array manifold is an effective approach that allows for high resolution capabilities. Thesparsity is enforced by imposing penalties based on the 1-norm. However, the estimation errorscan be further reduced through a weighted regularization, which will be investigated in thisresearch project.
• Tasks: - Understanding the concept of direction of arrival estimation- Study of sparsity-aware processing through regularization- Reproducing the results presented in the given reference
• References:[1] C. Zheng, G. Li, H. Zhang, and X. Wang, “An approach of DOA estimation using noise subspace weightedminization,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process, 2011, pp. 2856–2859.
• Focus: 1 student project is taken already!
Compressive Sensing Based DOA Estimationtaken
• Description:The SECSI framework calculates an approximation of the CP decomposition based on simultaneous matrixdiagonalization. Moreover, the SECSI framework calculates multiple solution in order to select the best infinal solution. The different solutions are independent from one another and therefore this process couldparalyzed resulting in parallel implementation of the framework.
• Tasks– Literature study on tensor algebra and tensor decompositions.– Implementation of the proposed solution
• References[1] T. G. Kolda and B. W. Bader. “Tensor decompositions and applications”. SIAM, 51:455-500, 2009.[2] F. Roemer and M. Haardt, “A semi-algebraic framework for approximate CP decompositions via simultaneous matrix
diagonalizations (SECSI),” Elsevier Signal Processing, vol. 93 , pp. 2722–2738, Sep. 2013
Focus1 student theory / programming / hardware / measurements
Responsible Professor:Supervisor:
Prof. Martin HaardtKristina Naskovska
Parallel Implementation of the SECSI framework
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• Description:Tensor based processing of EEG data is becoming more and more popular topic. In this project we wouldlike to extend the well known processing techniques by using different tensor decomposition, such as theCoupled CP decomposition and the (L,L,1) decomposition. These decomposition is expected to provideenhanced results compared to the conventional CP decomposition, because they are more suitable as adata model for EEG data.
• Tasks– Literature study on tensor algebra and tensor decompositions.– Implementation
• References[1] T. G. Kolda and B. W. Bader. “Tensor decompositions and applications”. SIAM, 51:455-500, 2009.[2] K. Naskovska, M. Haardt, P. Tichavsky, G. Chabriel, and J. Barrere, “Extension of the semi-algebraic framework for
approximate CP decomposition via non-symmetric simultaneous matrix diagonalization,” in Proc. IEEE Int. Con. onAcoustics, Speech and Sig. Process. (ICASSP), 2016.
[3] Lieven De Lathauwer, “Decompositions of a Higher-Order Tensor in Block Terms—Part II: Definitions and Uniqueness”,SIAM. J. Matrix Anal. & Appl., 30(3), 1033–1066.
Focus1 student theory / programming / hardware / measurements
Responsible Professor:Supervisor:
Prof. Martin HaardtKristina Naskovska
EEG data processing based on Coupled CP and (L,L,1) tensor decomposition
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• Description:Due to shortcomings of OFDM such as high spectral leakage and strict synchronization requirements, several new multi-carrier transmission techniques such as Filter Bank Multi-Carrier (FBMC), Universal Filtered Multi-Carrier (UFMC), and Generalized Frequency Division Multiplexing (GFDM) are being proposed as alternatives to orthogonal frequency division multiplexing (OFDM) for 5G. These new waveforms have more relaxed requirements. In this work, we are interested in investigating the multi user pecoding and decoding techniques for UFMC.
• Tasks– Literature study– Derivation and Implementation
• References[1] S. A. Cheema, K. Naskovska, M. Attar, B. Zafar, and M. Haardt. “Performance comparison of space time block codes for
different 5G air interface proposals,'' in Proc. 20-th International ITG Workshop on Smart Antennas (WSA), (Munich, Germany)”. pp. 229 - 235.
[2] V. Stankovic and M. Haardt, ``Multi-user MIMO downlink precoding for users with multiple antennas,'' in Proc. of the 12-th Meeting of the Wireless World Research Forum (WWRF), (Toronto, ON, Canada), Nov. 2004
• Focus 1 student theory / programming / hardware / measurements
Responsible Professor:Supervisor:
Prof. Martin HaardtKristina Naskovska
Multi User MIMO for UFMC
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• Description:
The NS-IDIEM and IDIEM algorithm is a closed form solution to the simultaneous matrix diagonalization problem. As a first step of this project the existing algorithm should be implemented in Matlab. Then the existing algorithms should be extended to a coupled problem, when two sets of matrices have at least one diagonalizer in common.
• Tasks– Literature study– Derivation and Implementation
• References[1] G. Chabriel and J. Barrere, “A direct algorithm for nonorthogonal approximate joint diagonalization,” IEEE Transactions
on Signal Processing, vol. 60, pp. 39–47, January 2012.
• Focus1 student theory / programming / hardware / measurements
Responsible Professor:Supervisor:
Prof. Martin HaardtKristina Naskovska
Implementation of the NS-IDIEM algorithm and extension to the coupled diagonalization problem
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www.tu-ilmenau.de/ei_ms_csp
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• Description:Due to shortcomings of OFDM such as high spectral leakage and strict synchronization requirements,several new multi-carrier transmission techniques such as Filter Bank Multi-Carrier (FBMC), UniversalFiltered Multi-Carrier (UFMC), and Generalized Frequency Division Multiplexing (GFDM) are beingproposed as alternatives to orthogonal frequency division multiplexing (OFDM) for 5G. These newwaveforms have more relaxed requirements. In this work, we are interested in investigating the impact ofcarrier frequency offset (CFO) on the performance of UFMC in multiuser uplink scenario. The results willbe compared to the OFDM.
• Requirements: Programming skills in MATLAB.
• Tasks Review of the literature Implementation of UFMC in Matlab Comparison of impact of CFO on UFMC with OFDM
• Literature:[1]. V. Vakilian, T. wild, F. Schaich, S. Ten Brink and J. Frigon, “Universal-Filtered Multi-Carrier Technique for Wireless Systems Beyond
LTE,” in Proc. Globecom 2013 workshop, December 2013.[2]. A. Aminjavaheri, A. Farhang, A. RezazadehReyhani, and B. Farhang “Impact of Timing and Frequency Offsets on Multicarrier
Waveform Candidates for 5G” CoRR journal, June 2014.
• Focus 1 student theory / programming
Impact of Carrier Frequency Offset on UFMCResponsible Professor:Supervisor:
Prof. Martin Haardt Sher Ali Cheema
www.tu-ilmenau.de/ei_ms_csp
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• Description:In OFDM based systems, the symbols are separated by guard intervals which are usually implemented bycyclic prefixes (CP). CP is a random sequence and is solely created in time domain by copying the lastpart of the output of IDFT. Instead of using a random sequence as CP, a known deterministic sequencecalled as unique word (UW) can be used which, in result, can be very helpful for channel estimation andsynchronization. Therefore, such UW systems does not require dedicated pilot carriers as compared tosystems using CP. In [1], two different methods are introduced to construct UW-OFDM. In this project, wewill investigate the performance of MIMO UW-OFDM with iterative equalization techniques such turbodetection.
• Requirements: Programming skills in MATLAB.
• Tasks Review of the literature Implementation of UW-OFDM in Matlab Performance comparison of UW-OFDM and CP-OFDM for LTE-A downlink
• Literature:[1]. A. Onic and M. Huemer, “Direct vs. two-step approach for unique word generation in UW-OFDM,” in Proc. 2010 Int. OFDM Work., pp.
145–149 Hamburg (Germany), September 2010.[2]. Huemer, M., Hofbauer, C., Huber, J.B “The Potential of Unique Words in OFDM” in Proceedings of the 15th International OFDM
Workshop. Hamburg (Germany), September 2010.
• Focus 1 student theory / programming
Iterative equalization techniques for MIMO Unique Word OFDM
Responsible Professor:Supervisor:
Prof. Martin Haardt Sher Ali Cheema
www.tu-ilmenau.de/ei_ms_csp
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• Description:Visible light communication (VLC) is a technology with enormous potential for wide range of applicationswithin next generation transmission and broadcasting technologies. Despite many advantages, the mainchallenge in VLC systems to date has been in improving data rates while considering the low bandwidthsof the commercial LED devices. Many advance modulation schemes such as block transmission withfrequency domain equalization, discrete multi-tone transmission (DMT), and carrier less amplitude andphase (CAP) have been suggested for VLC. Moreover, equalization also plays a vital role in improving thespectral efficiency of VLC systems. In this work, we will investigate the performance of PAM blocktransmission with fractionally-spaced decision feedback equalization and will compare it with the otherschemes in indoor multipath environment.
• Requirements: Programming skills in MATLAB.
• Tasks Review of the literature Implementation of PAM-block transmission with DFE in Matlab
• Literature: M. Wolf, L.Grobe, M. R. Rieche, A. Koher and J. Vucic, “ Block transmission with linear frequency domain equalization for dispersive
optical channels” in 12th International Conference on Transparent Optical Networks (ICTON) 2010, Munich, Germany F.-M.Wu, C.-T. Lin, et al., “1.1-Gb/sWhite-LED-Based Visible Light Communication Employing Carrier-Less Amplitude and Phase
Modulation,” IEEE Photonics Technology Letters, pp. 1730 – 1732, Oct. 2012
• Focus 1 student theory / programming
PAM block transmission with fractionally-spaced decision feedback equalization for VLC
Responsible Professor:Supervisor:
Prof. Martin Haardt Sher Ali Cheema
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Professor : Prof. Dr.-Ing. Martin Haardt Supervisor: Bilal Zafar, Sher Ali Cheema
• Description:Rotate phase of constellation Increased spectral efficency Part of DVB-T2 standard
• Requirements: Strong programming skills in MATLAB and goodknowledge about wireless systems.
• Tasks Set up simulation scenario in Matlab Investigate bit error rate for various modulation schemes Determine optimal angle of rotation w.r.t the bit error rate Investigate the advantages of multiplexing using rotated constellations Investigate possible cryptography uses (please contact the supervisors for more details)
• Focus 1 students theory / programming
Investigation of modulation with rotated constellation
16-QAM after rotation
Department of Electrical Engineering and Information Technology
Institute for Information Technology
Electronic Measurement Research Lab
Head: Prof. Dr.-Ing. habil. Reiner S. Thomä
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Electronic MeasurementResearch Lab
Performance analysis of millimeter wave wireless channels using multiband OFDM systems
DescriptionThe large absolute bandwidth of the millimeter wave channels may lead to a phenomena that different frequencies along the channel bandwidth are effected differently from multiple interacting objects in the environment. This project aims to analyze the behavior understanding of the millimeter wave frequencies in terms of error rate analysis using multiband OFDM systems.
Tasks Design and implementation of basic OFDM simulator in MATLAB. Performance analysis of different subbands of the ultrawide band channel using the designed
OFDM simulator.References
[1] W. Q. Malik, D. J. Edwards, and C. J. Stevens, “Frequency dependence of fading statistics for ultrawidebandsystems,” IEEE Trans. Wireless Commun., vol. 6, no. 3, pp. 800–804, Mar. 2007.
Focus1/2 students theory / programming / measurements / simulations
Responsible Professor: Prof. Dr.-Ing. habil. Reiner S. ThomäSupervisor: Christian Schneider
Electronic MeasurementResearch Lab 2
Spectral efficiency analysis of measured millimeter wave wireless channels
Responsible Professor: Prof. Dr.-Ing. habil. Reiner S. ThomäSupervisor: Christian Schneider
DescriptionMillimeter wave (mmwave) wireless channels have the potential to provide 1000x increase in the data rate of the current wireless systems. Therefore, mmwave communication is considered as one of the promising candidate technologies for future 5G communication systems. The focus of this research project is to investigate the spectral efficiency of measured millimeter wave channels..
Tasks Identify the number of effective scatterers in the channels. Estimate the fading envelop distribution of the channel. Compute the channel spectral efficiency using the fading envelop.
References[1] T. S. Rappaport et al., “Millimeter wave mobile communications for 5G cellular: It will work!” IEEE Access, vol. 1, no.
1, pp. 335–349, Aug. 2013.[2] M. Paetzold and B. Talha, “On the statistical properties of sum-of-cisoids based mobile radio channel simulators,” in
Proc. 10th International Symposium on Wireless Personal Multimedia Communications, WPMC 2007. Jaipur, India, Dec. 2007, pp. 394–400
Focus1/2 students theory / programming / measurements / simulations
Department of Computer Science and Automation
Institute of Computer Engineering
Integrated Communication Systems Group
Head: Prof. Dr.-Ing. habil. Andreas Mitschele-Thiel
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• Description:LORAWAN/Dash7 nodes are low power, long range and low data rate wireless nodes that can be employedfor IOT scenarios. The main goal of this project is to evaluate the performance of LORAWAN nodes underdifferent mobility scenarios.
• Tasks– Assembling IOT nodes using LORAWAN/ Dash7 nodes and single board computers– Measurement of different performance metrics
• Requirements:– Linux– Python, C++
• References[1] http://www.dash7-alliance.org/[2] https://www.lora-alliance.org/
Focus2 student for LORAWAN nodes Practical / programming/ hardware2 student for Dash7 nodes Practical / programming/ hardware
Responsible Professor:Supervisor:
Prof. Andreas Mitschele-ThielMehdi Harounabadi, Victor Casas
Evaluation the Performance of LORAWAN/ Dash7 Nodes for Internet-Of-the-Things
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• Description:Nowadays a problem of a mobile base station (MBS) placement attracts more and more attention.Movement capabilities of the MBS can be used to follow a crowd of cellular users. Therefore, a movementpattern of the crowd needs to be estimated.
• Tasks– Literature study on approaches for cellular user mobility estimation– Comparative analysis of different approaches– Implementation of several algorithms in Python simulator.
• References[1] M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, "Drone Small Cells in the Clouds: Design, Deployment andPerformance Analysis," in Proc. of the IEEE Global Communications Conference (GLOBECOM), Wireless NetworksSymposium, San Diego, CA, USA, December 2015.[2] R. Irem Bor Yaliniz, Amr El-Keyi, Halim Yanikomeroglu: Efficient 3-D placement of an aerial base station in next generationcellular networks. ICC 2016: 1-5
• Focus1 student theory / programming / hardware / measurements
Responsible Professor:Supervisor:
Prof. Andreas Mitschele-ThielOleksandr Andryeyev
Estimation of Cellular Users Crowds Movement Pattern Based on RSS signal
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• Description:Nowadays a problem of a mobile base station (MBS) placement attracts more and more attention.Movement capabilities of the MBS can be used to follow a crowd of cellular users. Therefore, a placementalgorithm for MBS needs to be implemented.
• Tasks– Literature study on 3D base station placement algorithms;– Comparative analysis of different approaches;– Implementation of several algorithms in Python simulator.
• References[1] M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, "Drone Small Cells in the Clouds: Design, Deployment andPerformance Analysis," in Proc. of the IEEE Global Communications Conference (GLOBECOM), Wireless NetworksSymposium, San Diego, CA, USA, December 2015.[2] R. Irem Bor Yaliniz, Amr El-Keyi, Halim Yanikomeroglu: Efficient 3-D placement of an aerial base station in next generationcellular networks. ICC 2016: 1-5
• Focus1 student theory / programming / hardware / measurements
Responsible Professor:Supervisor:
Prof. Andreas Mitschele-ThielOleksandr Andryeyev
3D Mobile Base Station Placement to Serve a Cluster ofCellular Users
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• Description:Nowadays a problem of a mobile base station (MBS) placement attracts more and more attention.Movement capabilities of the MBS can be used to follow a crowd of cellular users. Therefore, a placementalgorithm for MBS needs to be implemented. In order to utilize multiple MBSs efficiently, the algorithmshould be aware of interference, created to others. Since MBS is implemented on a micro-aerial vehicle, thealgorithm should consider landing places with higher priority as well.
• Tasks– Literature study on 3D base station placement algorithms;– Comparative analysis of different approaches;– Implementation of several algorithms in Python simulator.
• References[1] M. Mozaffari, W. Saad, M. Bennis, and M. Debbah, "Drone Small Cells in the Clouds: Design, Deployment andPerformance Analysis," in Proc. of the IEEE Global Communications Conference (GLOBECOM), Wireless NetworksSymposium, San Diego, CA, USA, December 2015.[2] R. Irem Bor Yaliniz, Amr El-Keyi, Halim Yanikomeroglu: Efficient 3-D placement of an aerial base station in next generationcellular networks. ICC 2016: 1-5
• Focus1 student theory / programming / hardware / measurements
Responsible Professor:Supervisor:
Prof. Andreas Mitschele-ThielOleksandr Andryeyev
3D Location- and Interference- Aware Mobile Base Station Placement Approach
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• Description:A mobility-controlled node can leverage a new degree of freedom in wireless networks which is thetrajectory planning for the node. The objective of this project is to implement a new mobility model in forwireless nodes which can be controlled by an application in OMNeT++.
• Tasks– Implementing a new mobility model in OMNeT++– Study on the impact of controlling mobility in wireless networks
• References[1] https://omnetpp.org/
Focus2 student theory / programming
Responsible Professor:Supervisor:
Prof. Andreas Mitschele-ThielMehdi Harounabadi
Modeling a Mobility-Controlled Wireless Node in OMNeT++
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• Description:Existing Python-based message ferry simulator evaluates the performance of message ferrying in multi ferryscenarios for stationary nodes. The main goal of this project is to extend the simulator to evaluate theperformance of message ferrying for mobile nodes with different mobility models.
• Tasks– Extension of the simulator to evaluate the performance for mobile nodes– Study and investigation of different mobility models for nodes– Modelling the decision maker in ferries
• References[1] Simon, Tobias, and Andreas Mitschele-Thiel. "A self-organized message ferrying algorithm." World of Wireless, Mobileand Multimedia Networks (WoWMoM), 2013 IEEE 14th International Symposium and Workshops on a. IEEE, 2013.
• Focus1 student theory / programming
Responsible Professor:Supervisor:
Prof. Andreas Mitschele-ThielMehdi Harounabadi
Extention of the Python-Based Message Ferry Simulator
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• Description:One of the latest and promising methods for localization of wireless nodes is so called Mobile Anchor (UAV in our
case) Assisted Localization (MAAL). This method employs one or multiple mobile anchors, equipped with GPS
units, traversing certain area and periodically sending their location information. This information is then used to
help unknown nodes with localization.
Current literature proposes many MAAL algorithms. In this work a disaster scenario is considered which puts
certain constraints on the accuracy and speed of localization. As a consequence, suitable three-dimensional
position calculation algorithms should be researched and implemented, in order to achieve a trade off between
high localization accuracy and computational complexity.
• Tasks– Literature study on appropriate algorithms
– Implementation and integration of chosen algorithm(s) in Python based simulator
– Simulation and analysis of implemented algorithms (e.g., loc. accuracy, beacon utilization rate,computational complexity)
• References[1] G. Han; J. Jiang; C. Zhang; T. Duong; M. Guizani; G. Karagiannidis, "A Survey on Mobile Anchor Node Assisted Localizationin Wireless Sensor Networks," in IEEE Communications Surveys & Tutorials , vol.PP, no.99, pp.1-26, 2016[2] E. Kim, S. Lee, C. Kim and K. Kim, "Mobile Beacon-Based 3D-Localization with Multidimensional Scaling in Large SensorNetworks," in IEEE Communications Letters, vol. 14, no. 7, pp. 647-649, July 2010.
• Focus 1 students theory / programming / hardware / measurements
Responsible Professor:
Supervisor:
Prof. Andreas Mitschele-Thiel
M.Sc. Alina Rubina
Implementation of Suitable 3D Position Calculation Algorithms
for UAV Assisted Localization in Wireless Networks
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• Description:One of the latest and promising methods for localization of wireless nodes is so called Mobile Anchor (UAV in our
case) Assisted Localization (MAAL). This method employs one or multiple mobile anchors, equipped with GPS units,
traversing certain area and periodically sending their location information. This information is then used to help
unknown nodes with localization.
It is a well known fact that a careful design of mobile anchors movement trajectory not only improves localization
accuracy, but also reduces total travel time and energy consumption. The main task of this project is to develop
suitable 3D path planning algorithms for UAV which improve localization accuracy.
• Tasks– Literature study on current path planning algorithms (both static and dynamic)
– Implementation of chosen algorithms in Python based simulator
– Analysis and comparison of simulation results based on loc. accuracy, total path length, etc.
• References[1] ] G. Han; J. Jiang; C. Zhang; T. Duong; M. Guizani; G. Karagiannidis, "A Survey on Mobile Anchor Node Assisted Localizationin Wireless Sensor Networks," in IEEE Communications Surveys & Tutorials , vol.PP, no.99, pp.1-26, 2016[2] H. Cui, Y. Wang, J. Lv. Path planning of mobile anchor in threedimensional wireless sensor networks for localization. Journal ofInformation & Computational Science, vol. 9, no. 8, pp. 2203-2210, Aug. 2012.
• Focus 1-2 students theory / programming / hardware / measurements
Responsible Professor:
Supervisor:
Prof. Andreas Mitschele-Thiel
M.Sc. Alina Rubina
Implementation of 3D Path Planning Algorithms for UAV
Assisted Localization in Wireless Networks
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• Description:In the field of UAV assisted localization mainly two types of path planning algorithms exist – static and dynamic. Static algorithms are planned beforehand and are suitable mostly for uniform distribution of unknown nodes. As in outdoor scenarios, sensor nodes may be deployed randomly or in clusters, dynamic trajectory makes full use of real-time information. As a consequence, it can adapt to the observable environments and/or distribution of nodes.
Both types of trajectories have their pros and cons. Thus, the aim of this project is to develop a hybrid trajectory, which would combine the advantages of both static and dynamic path planning algorithms. The main idea is to have robust and fast path planning algorithm, with the help of which a UAV can traverse an area of interest and localize most of the unknown nodes in a shortest time and with acceptable localization accuracy.
• Tasks– Literature study on existing static and dynamic path planning algorithms
– Development of new hybrid approach (with the help of supervisor)
– Implementation and analysis of hybrid trajectory in Python simulator
– Comparison of existing approaches with a developed hybrid one (optional)
• References[1] G. Han; J. Jiang; C. Zhang; T. Duong; M. Guizani; G. Karagiannidis, "A Survey on Mobile Anchor Node AssistedLocalization in Wireless Sensor Networks," in IEEE Communications Surveys & Tutorials , vol.PP, no.99, pp.1-26, 2016
• Focus 2 students theory / programming / hardware / measurements
Responsible Professor:
Supervisor:
Prof. Andreas Mitschele-Thiel
M.Sc. Alina Rubina
Development and Implementation of Hybrid Path Planning
Algorithm for UAV Assisted Localization of Wireless Nodes
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• Description:Finding physical location of wireless nodes is a critical task, since it provides support for many location-aware protocols and applications. The problem of localization is a multidimensional optimization task, as the resulting accuracy depends on many factors. In the case of a UAV assisted localization, localization accuracy depends on chosen signal propagation model (e.g., transmission power, wall attenuation factor), chosen trajectory (e.g., resolution, number of beacons, degree of collinearity), position calculation algorithm etc. Also, the target goal is not always high localization accuracy. Some tasks require fast and rough localization or there could be a certain threshold on what is the number of wireless nodes that should be localized.
Thus, in order to achieve certain goal too many factors could be altered. As a consequence, the aim of this project is to develop a so called Flexible Localization Engine which could be expressed as the following utility function:𝑢(𝑓𝑡𝑖𝑚𝑒 , 𝑓𝑝𝑎𝑡ℎ 𝑙𝑒𝑛𝑔𝑡ℎ , 𝑓𝑙𝑜𝑐. 𝑎𝑐𝑐𝑢𝑟𝑎𝑐𝑦, 𝑓𝑛𝑟.𝑜𝑓 𝑙𝑜𝑐. 𝑛𝑜𝑑𝑒𝑠) = 𝑤1 ∙ 𝑓𝑡𝑖𝑚𝑒 + 𝑤2 ∙ 𝑓𝑝𝑎𝑡ℎ 𝑙𝑒𝑛𝑔𝑡ℎ+𝑤3 ∙ 𝑓𝑙𝑜𝑐. 𝑎𝑐𝑐𝑢𝑟𝑎𝑐𝑦+𝑤4 ∙ 𝑓𝑛𝑟.𝑜𝑓 𝑙𝑜𝑐. 𝑛𝑜𝑑𝑒𝑠
• Tasks
– Literature study on possible optimization algorithms
– Definition of optimization problem (parameter space, utility function etc.) and design of experiment
– Analysis of different simulation setups in order to achieve optimum solution (Trial and Error approach)
– Development of analytical model which can approximate given task (optional)
• Focus 2 students math skills / programming / hardware / measurements
Responsible Professor:
Supervisor:
Prof. Andreas Mitschele-Thiel
M.Sc. Alina Rubina
Development and Analysis of Flexible Localization
Engine
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Department of Electrical Engineering and Information Technology
Institute for Information Technology
Division of Communication Networks
Head: Prof. Dr. rer. nat. habil. Jochen Seitz
15.08.2013 Page 3
DescriptionTraditionally, routing is done on layer 3 of the OSI-Reference model based on IP-Addresses. With new networking paradigms for mesh or overlay networks, routing protocols is applied to further layers as well. This results in potentially redundant combinations of network functions. The goal of this project is therefore to evaluate the impact of various combinations of routing approaches using OMNeT++. The focus should be on interaction of the protocols at different layers.
Tasks A literature survey on existing research related to the application of multiple routing protocols for one
system. Design and implementation of suitable scenarios in OMNeT++. Measurements and analysis of impact of routing protocols on various traffic conditions.
References www.omnet.org
Focus1 student theory / programming / measurements / simulations
Responsible Professor:Supervisor:
Prof. Jochen SeitzM. Sc. Silvia Krug
Routing Protocol Combinations on Different OSI-Layers
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DescriptionTraditionally, the poisson distribution is used to model voice traffic arrival rates in communication systems. OMNeT++ provides a module to generate poisson distributed traffic. The goal of this project is therefore to model first responder voice communication via poisson distributions and verify the feasibility of the developed model via simulations in OMNeT++.
Tasks A literature survey on poisson traffic and first responder communications. Design and modeling of typical first responder traffic. Verification of model via suitable simulations in OMNeT++.
References https://github.com/Refeel/OmnetppTrafficGenerators Aschenbruck et al. „Characterisation and modelling of voice traffic in first responder networks“
Focus1 student theory / programming / measurements / simulations
Responsible Professor:Supervisor:
Prof. Jochen SeitzM. Sc. Silvia Krug
Modeling of Frist Responder Voice Communication via Poisson Traffic in OMNeT++
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DescriptionVehicle-to-Pedestrian (V2P) communication is necessary to ensure pedestrians' safety. Pedestrians' presence must becommunicated in advance to allow sufficient time for the driver to react irrespectively of varying vehicle/pedestriandensities. The goal of this project is to measure the Time-to-Collision (or vehicle's distance from intersection) for varyingvehicle and pedestrian densities and different periodicity of the pedestrian’s safety message. An urban LOS/NLOSintersection scenario shall be simulated with varying vehicle and pedestrian densities. This scenario shall be used toevaluate impact on Time-to-Collision (TTC).
Tasks Literature survey on V2P communication, medium access schemes and crash scenarios. Design and simulate urban intersection scenarios with different vehicle/pedestrian densities using OMNeT++ & Veins. Implement mechanism to measure TTC. Evaluate the impact of different densities and periodicities on TTC and of different medium access schemes.
References[1] X. Wu, R. Miucic, S. Yang, S. Al-Stouhi, J. Misener, S. Bai, W. Chan. “Cars Talk to Phones: A DSRC Based Vehicle-Pedestrian Safety System”,
80th Vehicular Technology Conference (VTC Fall), 2014.[2] http://www.omnetpp.org
Focus 1 student theory / programming / simulation
Impact of Different Vehicle and Pedestrian sities on Time-to-Collision
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Professor: Supervisor:
Prof. Jochen Seitz Parag Sewalkar
The modern trend in handover algorithms for mobile networks goes in the direction of multi-criteria handover algorithms, where multiple different characteristics like RSS, SNIR, quality of service (QoS), security, monetary costs, location, battery status and others are considered during path selection. In this project, a study about handover-relevant criteria shall be performed. Also, the simulation environment OMNeT++/INET is to be analyzed in terms of implemented models and algorithms which are responsible for the simulation of handover-relevant criteria values..
Tasks Literature survey of handover-relevant criteria like RSS, SNIR, QoS-, security- and device-related
parameters, etc. including their classification. Investigation of the implemented models and algorithms of handover-relevant criteria in
OMNeT++/INET, their parametrization and collection of their values. Analysis of values behavior of handover-relevant criteria in OMNeT++/INET in different scenarios
including different network topology, mobility patterns, network load etcReferences
Lusheng Wang and Geng-Sheng (G.S.) Kuo .: „Mathematical Modeling for Network Selection inHeterogeneous Wireless Networks --- A Tutorial“, IEEE, 2014
Focus1 student theory / programming / hardware / simulation
Responsible Professor:Supervisor:
Prof. Jochen SeitzDipl.-Ing. Yevgeniy Yeryomin
Investigation of Criteria for Multi-Criteria Handover Decision Algorithms in OMNeT++
8/22/2016 Page 25
Department of Electrical Engineering and Information Technology
Institute for Media Technology
Electronic Media Technology Labaratory
Head: Prof. Dr.-Ing. Dr. rer. nat. h.c. mult. Karlheinz Brandenburg
Page 3
• Description:Dynamic binaural synthesis has become a popular tool for the interactive reproduction of spatial sound scenes. So far, only the tracking of head rotation is common. For a convincing audio experience, it might be of interest to take small position changes into account.In this project, a prototype of such an adaptation has to be implemented. A setup for dynamic binaural synthesis is available as a starting point.An informal short listening experiment will be conducted to estimate, whether the consideration of small position changes is perceived as an improvement of reproduction quality..
• Tasks– implementation will be done using Python and Matlab
• References
• Focus1 student theory / programming
Responsible Professor:Supervisor:
Prof. Karlheinz BrandenburgAnnika Neidhardt
Small position changes in dynamic binaural synthesis
24.08.2016 Page 1
15.08.2013 www.tu- ilmenau.de/ei
_ms_csp
Page 37
Head: Prof. Dr.-Ing. Gerald Schuller
Applied Media Systems
• Description:We developed a software synchronization method for non-synchronized soundcards. This possibility should be used to implement a 3D acoustic direction findingmethod, running on a Raspberry Pi in Python, for instance for robotics controlapplications. The method should provide the precise horizontal and vertical positionof a sound source.
• Focus1 student theory / programming / hardware / measurements
Responsible Professor:Supervisor:
Prof. Gerald SchullerJoleg Golokolenko
3D Acoustic Direction finding using non-synchronized sound cards
14.09.2016 Page 1