topics for the mscsp advanced research projects winter semester 201 · 2015-09-28 · advanced...

Topics for the MSCSP

09/09/2015

Advanced Research Projects

Winter Semester 2015 / 2016

Selection of topics and submission of topic sheets until

October 26, 2015.

09.09.2015

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

• Description: During mobility, running traffic might need to be offloaded between interfaces of different radio access

technologies in a wireless node. It is useful to provide a module in OMNeT++ to simulate some of thewidely used approaches in order to investigate sophisticated mechanisms like handover. Theframework is to be implemented at the Access Layer. It should include a load generator to applydifferent load conditions and to test network capacity. Hosts association must follow the technologystandards.

• Tasks A literature survey on simulations regarding data offloading via different interfaces. Design and simulation of the data offload between two selected heterogeneous access technologies

using Omnet++.

• References www.omnetpp.org

• Focus1 student theory / programming / hardware / measurements

Responsible Professor: Supervisor:

Prof. Jochen Seitz M. Sc. Atheer Al-Rubaye

A Heterogeneous Access Framework in OMNeT++

09.09.2015

http://www.omnetpp.org/

Link Adaptation based on Received Signal Strength (RSS)

09.09.2015 www.tu-ilmenau.de/ei_ms_csp

Responsible Professor: Research Advisor: E-Mail:

Prof. Jochen Seitz M.Sc. Aymen Al-Ani [email protected]

• DescriptionThe main challenges in wireless communication networks are the continuously changing physicallayer properties of the channel, because of node mobility, fading, and interference. The IEEE802.11 standard can support multiple data rates as shown in the figure. The method of multi-rateselection are not implemented in the 802.11 standards. For this, several auto-rate adaptationprotocols are proposed in the literature for efficient use of a multi-rate physical layer and to keepthe bit error rate acceptable.

• Tasks- Selection and implementation of an algorithm for multi-rate selection

based on monitoring the received signal strength (RSS). - Simulation and validation of the protocol using NS3.

• References - NS3: http://www.nsnam.org/

• Focus theory / programming , 1 student

http://www.nsnam.org/

• DescriptionChanging topology of Mobile Ad-hoc networks (MANETs) demands efficient routing algorithms. GeoNetworkingrouting algorithms provide a mechanism for routing based on geographical positions of the mobile nodes. Goal of thisproject is to evaluate Greedy Perimeter Stateless Routing (GPSR) algorithm under a given scenario. A large-area,sparse-density, multi-hop MANET with VoIP traffic shall be simulated with GPSR protocol and performance shall beevaluated against VoIP QoS requirements.

• Tasks– Literature survey on GPSR protocol & VoIP requirements.– Design and simulate MANET with VoIP traffic with GPSR protocol using Omnet++.– Evaluate the performance of simulated routing protocol against VoIP QoS requirements.

• References[1] M. A. Zayene, N. Tabbane, R. Elidoudi. “Performance Evaluation of GPSR Protocol in Ad Hoc Networks ”,

2009 Fourth International Conference on Computer Sciences and Convergence Information Technology

[2] http://www.omnetpp.org

• Focus1 student theory / programming / simulation


Prof. Jochen Seitz Parag Sewalkar

Performance Evaluation of GeoNetworking Protocol for VoIP over MANET

09.09.2015

• Description:Common simulation environments consider 2D propagation only. However, if Mobile Ad Hoc Networks (MANETs) are applied to an outdoor use case, the terrain and other obstacles have an impact on the signal strength and thus the resulting topology. The goal of this project is to enhance the previous implementation by incorporating digital elevation model (DEM) in order to evaluate the impact on MANETs with respect to connectivity and routing protocol performance.

• Tasks– Literature survey on 3D simulation approaches– Implementation of one DEM based approach in OMNeT++– Evaluation of the impact on different MANET scenarios

References [1] Filiposka et al.: Terrain Details Effect on Connectivity in Ad hoc Wireless Networks. 2013.

[2] OMNeT++. https://omnetpp.org/

Focus 1 student theory / programming / hardware / simulation


Prof. Jochen Seitz M. Sc. Silvia Krug

Simulation of Signal Propagation in 3D Terrains

09.09.2015

assigned

Description The modern trend in handover algorithms for mobile networks goes in the direction of the multi-criteria handover algorithms, where multiple different characteristics like quality of service (QoS), security, monetary costs, location and others are considered during the path selection. Taking into account many different criteria makes the decision process much more sensitive and the results more meaningful. A range of different multi-criteria handover algorithms have been proposed in the last decades. This project deals with the survey and investigation on existing multi-criteria handover algorithms. After comparing the existing algorithms, several selected ones are to be evaluated in a simulation environment.

Tasks – Literature survey about existing multi-criteria handover algorithms and trends– Evaluation of existing algorithms– Proposal of enhancements

References [1] Kassar M., Kervella B., Pujolle G.: An overview of vertical handover decision strategies in heterogeneous wireless networks. 2008.

[2] Bhuvaneswari A., George Dharma Prakash Raj E.: An Overview of Vertical Handoff Decision Making Algorithms. 2012.

Focus 2 students theory / programming / hardware / simulation


Prof. Jochen Seitz Dipl.-Ing. Yevgeniy Yeryomin

Evaluation of Multi-Criteria Handover Algorithms for Mobile Networks

09.09.2015

assigned

• DescriptionNeighbor discovery is a fundamental step to allow nodes to communicate with their neighbors in Wireless SensorNetworks. The topology of network is important for the reliable communication. The goal of the project is toinvestigate how the knowledge about the topology is affected by the selected neighbor discovery algorithm, forexample the Birthday Protocol (BP).

• Tasks– Literature survey on neighbor discovery protocols.– Implementation of the Birthday Protocol in OMNeT++– Simulate BP with different topologies using OMNeT++.

• References[1] Valerie Galluzzi and Ted Herman, “Survey: Discovery in Wireless Sensor Networks,” International Journal of Distributed Sensor

Networks, vol. 2012 [2] Meier, A.; Woehrle, M.; Weise, M.; Beutel, J.; Thiele, L., "NoSE: Efficient Maintenance and Initialization of Wireless Sensor

Networks," in Sensor, Mesh and Ad Hoc Communications and Networks, 2009. SECON '09. 6th Annual IEEE Communications Society Conference on , vol., no., pp.1-9, 22-26 June 2009

[3] http://www.omnetpp.org

• Focus1 student theory / programming / simulation


Prof. Jochen Seitz M.Sc. Usman Sherwani

Neighbor Discovery Impact on Topology Knowledge in Wireless Sensor Networks

09.09.2015

Description Vehicular Ad-hoc Networks (VANETs) in urban scenarios can be used to distribute different service offers. This kind of service discovery has different requirements (like maximum delay or location awareness) that need to be fulfilled by the dissemination of service messages, especially considering the highly dynamic behavior of VANETs. Thus, the routing process for the service discovery related messages becomes a big challenge. Social-driven strategies seem to be a good approach to deal with this problem. This project pays special attention to the routing process in the context of the Social Internet of Vehicles (SIoV) paradigm. The goal of this project is to simulate an existing service discovery approach that uses social driven strategies in VANETs. Tasks

- Survey on the requirements of service discovery for VANETs. - Literature survey of social driven strategies in vehicular networks. - Comparison and selection of existing service discovery approaches. - Implementation and evaluation of the selected approaches using an appropriate simulation tool.

References [1] L. Atzori, A. Iera, G. Morabito. From “Smart Objects” to “Social Objects”: The Next Evolutionary Step of the Internet of Things. 2014. [2] M. Gerla, E. Lee, G Pau, and U. Lee. Internet of Vehicles: From Intelligent Grid to Autonomous Cars and Vehicular Clouds.2014

Focus 2 students theory / programming / hardware / measurements


Prof. Jochen Seitz M.Sc. Yuri Cotrado S.

Service Discovery in VANETs based on Social-Driven Strategies

09.09.2015

assigned



Lab: Communications Research Laboratory

Head: Prof. Dr.-Ing. Martin Haardt

15.08.2013 Page 16

www.tu-ilmenau.de/ei_ms_csp 09.09.2015 www.tu-ilmenau.de/ei_ms_csp

• 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 compare the performance of UW-OFDM against the CP-OFDM for the LTE-A downlink scenario.

• 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 1/2 students theory / programming

Unique Word OFDM for LTE-A Downlink Responsible Professor: Supervisor:

Prof. Martin Haardt Sher Ali Cheema


• Description: In OFDM based systems, the symbols are separated by guard intervals which are usually implemented by cyclic prefixes (CP). CP is a random sequence and is solely created in time domain by copying the last part of the output of IDFT. Instead of using a random sequence as CP, a known deterministic sequence called as unique word (UW) can be used which, in result, can be very helpful for channel estimation and synchronization. Therefore, such UW systems does not require dedicated pilot carriers as compared to systems using CP. In this project, we will investigate the channel estimation techniques for UW-OFDM.


• Tasks Review of the literature Channel estimation using UW

• 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 students theory / programming

Channel Estimation Techniques for UW-OFDM Responsible Professor: Supervisor:



• Description:OFDM and its real-valued version DMT are popular schemes used to compensate the channel dispersionin direct detection optical systems. DMT schemes also take advantage of the CP, as in CP-OFDM, tomitigate the effect of channel dispersion. CP is a random sequence and is solely created in time domain bycopying the last part of the output of IDFT. Instead of using a random sequence as CP, a knowndeterministic sequence called as unique word (UW) can be used which, in result, can be very helpful forchannel estimation and synchronization. In this work, we will investigate the UW-OFDM structure for theDMT schemes and, based on this, propose new UW based DMT schemes for optical communicationsystems.


• Tasks Review of the literature Implementation of these schemes in Matlab

• Literature:[1]. 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. [2]. 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. [3]. M. Wolf, M. Haardt, “ Comparison of OFDM and frequency domain equalization for dispersive optical channels with direct detection” in

14th International Conference on Transparent Optical Networks (ICTON) 2012, Coventry, England.


Unique Word based DMT Schemes Responsible Professor: Supervisor:



• Description:OFDM and its real-valued version DMT are popular schemes used to compensate channel dispersion indirect detection optical systems. One of the major drawback of OFDM is its high peak to average powerratio (PAPR) of the output signal which seriously limits the power efficiency of transmitter’s high poweramplifier. Transmitting a signal with high PAPR requires highly linear power amplifiers with a large back-offto avoid adjacent channel interference due to nonlinear effects. In this work, we will investigate the differentPAPR reduction algorithms for DMT schemes such as AC-DMT and DC-biased DMT.


• Tasks Review of the literature Implementation of different PAPR reduction algorithms in Matlab

• Literature: S.H. Han, J. H. Lee, “An overview of peak-to-average power ratio reduction techniques for multicarrier transmission” in IEEE wireless

communication volume 12, issue2, April 2005. 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 M. Wolf, M. Haardt, “ Comparison of OFDM and frequency domain equalization for dispersive optical channels with direct detection” in

14th International Conference on Transparent Optical Networks (ICTON) 2012, Coventry, England.


Peak to Average Power Ratio Reduction for DMT Schemes Responsible Professor: Supervisor:



• Description: Visible light communication (VLC) is a technology with enormous potential for wide range of applications within next generation transmission and broadcasting technologies. Despite many advantages, the main challenge in VLC systems to date has been in improving data rates while considering the low bandwidths of the commercial LED devices. Many advance modulation schemes such as block transmission with frequency domain equalization, discrete multi-tone transmission (DMT), and carrier less amplitude and phase (CAP) have been suggested for VLC. Moreover, equalization also plays a vital role in improving the spectral efficiency of VLC systems. In this work, we will investigate the performance of CAP modulation scheme with decision feedback equalization and will compare it with the other schemes in indoor multipath environment.


• Tasks Review of the literature Implementation of CAP 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


Carrierless Amplitude and Phase Modulation with Decision Feedback Equalization for VLC




• Description: In conventional cellular networks, users communicate via base stations (BS) however close range users may gain if they communicate directly between each other. Device-to-device (D2D) networking allows direct communication between cellular users and provide the following benefits: Offload traffic from the core network Higher data rates and power efficiency for both users and networks Optimized spectrum reuse if sharing is allowed (underlay case) Better coverage Improved energy efficiency and reduced backhaul demand

• Requirements: Strong programming skills in MATLAB and good knowledge about wireless systems.

• Tasks When one should use direct D2D communication instead of cellular? Comparison between in-band (overlay and underlay) and out-of-band

modes Use of MIMO to provide additional degrees of freedom How to implement D2D on new generation systems where the

transceivers for uplink and downlink are different (please contact the supervisors for more details)


Device to Device (D2D) communications Responsible Professor: Supervisor:

Prof. Martin Haardt Bilal Zafar, Sher Ali Cheema


Responsible Professor: Research Adviser: E-Mail:

Prof. Dr. -Ing. Martin Haardt Dr. -Ing. Jianshu Zhang [email protected]

• Description:60 GHz band provides a large amount of unlicensed bandwidth, which can be used to boost the datarate. The use of CMOS techniques makes it feasible to produce mmWave arrays. To exploit thebenefits of 60 GHz band and massive MIMO arrays, novel physical layer techniques are desired.

• Tasks– Literature study of the current mmWave WiFi Standard, i.e., 802.11 ad– Build up a standard compliant link level simulator via simulink– Investigate and / or develop signal processing techniques in one of the following research

directions:MIMO strategies / Channel Estimation / Comparison of single and multi-carrier PHY/limited feedback

• References[1] Agilent Technologies, “Wireless LAN at 60 GHz – IEEE 802.11 ad Explained: Application Note", White paper, 2013.[2] O. El Ayach, S. Rajagopal, S. Abu-Surra, Z. Pi, and R. W. Heath, “Spatially Sparse Precoding in Millimeter Wave MIMO Systems”, IEEE Transactions on Wireless Communications, vol. 13, no. 3, 2014.

• Focus1 or 2 students, theory / programming / hardware / measurements / protocols

The Physical Layer of Future mmWave WiFi



Prof. Dr. -Ing. Martin Haardt Dr. –Ing. Jianshu Zhang [email protected]

• Description: In the development, standardization as well as the implementation process of equipment manufacturers of wireless networks, simulations are necessary to test and optimize algorithms and procedures. System level simulations focus on network-related issues and are indispensable for evaluating new mobile network technologies.

• Tasks – Understand the concept of system level simulator – Develop a System Level Simulator for LTE Heterogeneous Networks, involving relaying, D2D,

and M2M, with a focus on: Mobility management / radio resource management / PHY abstraction / stochastic modelling

• References [1] J. C. Ikuno, M. Wrulich, and M. Rupp, “System level simulation of LTE networks", IEEE 71st Vehicular Technology Conference, Taipei,

Taiwan, May 2010 [2] H. Zhang, Y. Xie, L. Feng, and Y. Fang, “Base Station Design and Siting Based on Stochastic Geometry", Vehicular Technologies Deployment and Application, InTech, Feb. 2013.

• Focus 1 or 2 students, theory / programming / hardware / measurements / protocols

System Level Simulator for SDMA Enhanced LTE Heterogeneous networks



Prof. Dr. -Ing. Martin Haardt Dr. -Ing. Jianshu Zhang [email protected]

• Description:Compared to traditional FMCW radar, OFDM radar offers several attractive features for radarapplications, e.g., tolerance against Doppler shift. Yet the potential of OFDM radar, or using othermulti-carrier techniques, has not been fully exploited, especially when multiple antennas are used.

• Tasks– Literature study of current MIMO OFDM radar techniques– Implement and improve the performance of MIMO OFDM radar in range, velocity, and angle

estimation, with the focus onnovel estimation techniques \ near-field radar \ alternative multicarrier techniques, e.g., FBMC

• References[1] C. Sturm, E. Pancera, T. Zwick, and W. Wiesbeck, “A novel approach to OFDM Radar processing", Radar Conference, IEEE, May 2009.[2] M. Braun, C. Sturm, and F. K. Jondral, “Maximum likelihood speed and distance estimation for OFDM radar”, in IEEE Radar Conference, 2010. [3] Y. L. Sit and W. Wiesbeck, “MIMO OFDM Radar with Communication and Interference Cancellation Features“, in IEEE Radar Conference, 2014.

• Focus1 or 2 students, theory / programming / hardware / measurements / protocols

The Potential of MIMO Multi-Carrier Radar Systems

• Description: More and more often we deal with massive amounts of heterogeneous data, for that reason we would like to analyse the so called big data using tensor algebra. Since the big data requires a lot of memory space a first and obvious solution is to perform a compression of the data. For that reason an implementation of the state of the algorithms as well as appropriate modifications should be achieved.

• Tasks – Literature study on tensor algebra and tensor decompositions. – Literature study on big data compression – Implementation of the state of the art algorithms

• References [1] T. G. Kolda and B. W. Bader. “Tensor decompositions and applications”. SIAM, 51:455-500, 2009. [2] N. D. Sidiropoulos, E.E Papalexakis and C. Faloutsos . “A Parallel Algorithm for Big tensor decomposition using randomly compressed cubes (PARACOMP)”, IEEE Internation Conference on Acoustic, Speech and Signal Processing (ICASSP), 2014

Focus 1 student theory / programming / hardware / measurements


Prof. Martin Haardt Kristina Naskovska

Compression of a big tensor using tensor decompositions

09.09.2015

• Description:More and more often we deal with massive amounts of heterogeneous data, for that reason we would like to analyse the so called big data using tensor algebra. Moreover, some of this data is either missing or it is corrupted and needs to be estimated. This can be achieved via decomposition of a low-rank tensor with mission entries. An implementation of the state of the algorithms as well as appropriate modifications should be achieved.

• Tasks– Literature study on tensor algebra and tensor decompositions.– Literature study on decomposition of low-rank tensor– Implementation of the state of the art algorithms

• References [1] T. G. Kolda and B. W. Bader. “Tensor decompositions and applications”. SIAM, 51:455-500, 2009. [2] M. Mardani, G. Mateos and G.B. Giannakis. “Imputation of Streaming Low-Rank Tensor data”, 8th IEEE Sensor Array and

Multichannel Signal Processing Workshop (SAM), 2014




Decomposition of a low-rank tensor with mission entries

09.09.2015

• Description:Factorization of a tensor in its rank-one component is essential part of a tensor and data analysis. Decomposition of a tensor in its rank-one components is commonly know as the CP decomposition, and its is calculated based on Trilinear-ALS. There exist other algebraic solutions such as SECSI, based on joint matrix diagonalization. In this project we would like to investigate non-symmetric matrix diagonalizations as well as possibility to introduce constrains on the factor matrices.

• Tasks– Literature study on tensor algebra and tensor decompositions.– Literature study on decomposition of low-rank tensor– Implementation of the state of the art algorithms

• References [1] T. G. Kolda and B. W. Bader. “Tensor decompositions and applications”. SIAM, 51:455-500, 2009. [2] P. Tichavsky, A. H. Phan and A. Cichocki “TWO-SIDED DIAGONALIZATION OF ORDER-THREE TENSORS”, EUSIPCO, 2015 (submitted) [3] F. Roemer, C. Schroeter and M. Haardt. “A semi-algebraic framework for approximate CP decompositions via joint matrix diagonalization and generalized unfoldings. ASILOMAR, 2012




Decomposition of a tensor in rank-one components

09.09.2015

15.08.2013 www.tu- ilmenau.de/ei

_ms_csp

Page 25



RF and Microwave Research Laboratory

Head: Prof. Dr. rer. nat. habil. Matthias Hein

• DescriptionPractical installation conditions of antennas often require dielectric material in close vicinity of the radiatingstructure, like radomes. Such material and geometry arrangements affect the propagation of electromagneticwaves and consequently the radiation characteristics of the antenna.For a given broadband dipole, the consequences of different insulating embeddings (complex-valued dielectricpermittivity and material thickness) shall be investigated by numerical simulations, and the results carefullydiscussed. For a selected scenario, the antenna parameters shall be optimized with respect to its operationalfrequency.

• Tasks– CAD modelling of the embedded antenna– Parameter variation (materials, geometries)

– Analysis and optimization of the resulting radiation properties

• References (basic literature)

[1] C. A. Balanis, “Antenna Theory – Analysis and Design”, Wiley & Sons Inc., vol. 3, ch. 14.7, pp. 859-865, 2005.[2] Randy Bancroft, “Microstrip and printed antenna design”, Raleigh, NC : SciTech Pub., 2009, 1-89112-173-1.

• Focus1 student theory / programming / simulation / hardware / measurements / protocols

Influence of dielectric embedding on antenna performance Responsible Professor: Prof. Matthias Hein Research Assistant: Dr. Ralf Stephan, [email protected]

February 2015

assigned

mailto:[email protected]

• DescriptionIntegrated inductors are basic circuit elements used in LTCC hybrid-integrated devices. Key parameters,besides the inductance value, are the quality factor and the self-resonance frequency, which depend onmaterial parameters of the LTCC system, as well as on the geometric layout of the inductor.The influence of different quasi-planar inductor topologies (spiral, octagonal, rectangular), linewidth andspacings on quality factor and frequency response shall be investigated by means of electromagnetic numericalsimulations. The influence of a metal plane below, or a metal shielding around the inductor, shall be included.Magnetic coupling between two closely spaced inductors shall be simulated for selected geometries.

• Tasks– CAD modelling of LTCC inductors (ADS Momentum)

– Analysis and optimization of inductance parameters

– Investigation of the influence of geometric parameter variations on the performance

• References (basic literature)[1] F.D. Barlow, I. u. A. Elshabini: Ceramic Interconnect Technology Handbook CRC Press Inc., 2007, 0849335574


Simulation and modeling of quasi-planar LTCC inductors Responsible Professor: Prof. Matthias Hein Research Assistant: Dipl.-Ing. Uwe Stehr, [email protected]

February 2015

assigned


• DescriptionCircularly polarized (CP) slotted-waveguide antennas, e.g., for use in satellite communicaitons, can be obtainedby different slot arrangements. In this study, the design based on three parasitic dipoles (cf. Fig.) above a linearradiating slot will be in the focus of the research. The polarization purity shall be evaluated in terms of the axial-ratio, based on electromagnetic full-wave simulations. The study shall address key antenna parameters such asresonant frequency, matching and pattern bandwidths, radiation pattern, gain, and efficiency.

• Tasks– Focused literature research– EM field simulation (ANSYS Electronics Desktop)– Parameter study of antenna parameters– Comparison and evaluation of the selected designs

• References (basic literature)

[1] C. A. Balanis, “Antenna Theory – Analysis and Design”, Wiley & Sons Inc., vol. 3, ch. 10, 2005.[2] J. I. Herranz-Herruzo, et. al., “Low cost switchable RHCP/LHCP Antenna for SOTM Applications in Ka-band”, Proc. EuCAP’2015, Lisbon, Portugal.


Circularly polarized slotted-waveguide antenna Responsible Professor: Prof. Matthias Hein Research Assistant: Dipl.-Ing. Alexander Krauß,

[email protected]

February 2015

assigned




Electronic Measurement Research Lab

Head: Prof. Dr.-Ing. habil. Reiner S. Thomä

15.08.2013 Page 30

Electronic Measurement Research Lab 29

Estimation of K-factor from Measured and Parametric Channel Data Sets

Supervisor : Christian Schneider Responsible Professor : Reiner S. Thomä

Description: The K-factor plays an important role in wireless channel analysis and modelling. Different methods to estimate the K-factor from measured channel sounding data sets are known, e.g. Maximum Likelihood estimation and different moment based methods[1-3]. For parametric data sets no specific approach has been discussed so far.

Tasks: – Study the estimation algorithm available in literature and our own papers [3]– Propose extension/application of K-Factor estimation for parametric channel data sets– Getting familiar with the available implementation the estimation of the K-Factor [1],[3], and different channel

data sets (measured and parametric)– Implementation of the new algorithms (ML and moment method [2] and extend this to parametric data sets)– Compare and study the different methods, derive conclusion

References: [1] Greenstein, L.J.; Michelson, D.G.; Erceg, V., "Moment-method estimation of the Ricean K-factor," Communications Letters, IEEE , vol.3, no.6, pp.175,176, June 1999, doi: 10.1109/4234.769521

[2] Tepedelenlioglu, C.; Abdi, A.; Giannakis, G.B., "The Ricean K factor: estimation and performance analysis," Wireless Communications, IEEE Transactions on , vol.2, no.4, pp.799,810, July 2003, doi: 10.1109/TWC.2003.814338

[3] Bottcher, A.; Vary, P.; Schneider, C.; Narandzic, M.; Thoma, R.S., "Estimation of the Radio Channel Parameters from a Circular Array with Directional Antennas," Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd , vol., no., pp.1,5, 15-18 May 2011, doi: 10.1109/VETECS.2011.5956303

Focus: 1-2 students Theory/programming/simulations/measurements/hardware

Electronic Measurement Research Lab 30

User selection in multiuser MIMO systems Supervisor: Christian Schneider Responsible Professor: Reiner S. Thomä

Description: Multiuser MIMO (MU-MIMO) significantly increase the spectral efficiency of cellular systems. When a base station (BS) or access point (AP) has fewer RF chains than the number of Tx antennas at BS/AP and the number of users are comparatively large, then the selection and scheduling of users plays a vital role in maximizing spectral efficiency inside a cell.

Tasks: Theoretical understanding and implementation of state of the art user selection

techniques. Analysis of pros and cons of different algorithms from complexity and performance point of

view.

References:

Focus: 2 students Theory/programming/simulations/measurements/hardware

[1] T. Yoo and A. Goldsmith, “On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming,” Selected Areas in Communications, IEEE Journal on, vol. 24, no. 3, pp. 528–541, March 2006.

[2] S. Huang, H. Yin, J. Wu, and V. Leung, “User selection for multiuser MIMO downlink with zero-forcing beamforming,” IEEE Transactions on Vehicular Technology, vol. 62, no. 7, pp. 3084–3097, Sept 2013.

Department of Computer Science and Automation

Institute of Computer Engineering

Integrated Communication Systems Group

Head: Prof. Dr.-Ing. habil. Andreas Mitschele-Thiel

15.08.2013 Page 34

•Description:We are considering a challenging scenario in which an unmanned aerial vehicle (UAV) is flying over

an urban area, which suffers from a disaster. The purpose of an UAV is to localize ’survived’ devices, enabled with Wi- Fi module. In order to improve localization, a suitable signal propagation model is required. In our unique scenario it is crucial to find a fitting signal model which will result in the improved localization accuracy. •Tasks

–Literature study on existing signal propagation models–Implementation of chosen models in Python–Simulation of different signal propagation models in different scenarios–Real time experiments with the most suitable model (optional)

•References[1] Faria, Daniel B.: Modeling Signal Attenuation in IEEE 802.11 Wireless LANs - Vol. 1 / Kiwi Project, Stanford

University. 2006 (TR-KP06-0118). – Forschungsbericht [2] Oleksandr Artemenko, Adarsh Harishchandra Nayak, Sanjeeth Baptist Menezes, Andreas Mitschele-Thiel: Evaluation of Different Signal Propagation Models for a Mixed Indoor-Outdoor Scenario Using Empirical Data , 7th International Conference on Ad Hoc Networks (ADHOCNETS'15), San Remo, Italy, September 2015 •Focus2 students theory / programming / hardware / measurements


Prof. Andreas Mitschele-Thiel M.Sc. Alina Rubina

Comparison of Different Signal Propagation Models for a Mixed Indoor-Outdoor Scenario

8/24/15

•Description: •So called mobile anchors gather reference information while traversing through the network of wireless static nodes. Different selection algorithms of reference data improve the localization information. •Tasks

–Implementation of existing algorithms in Python –Simulation of different algorithms in different scenarios –Implementation of a new algorithm (optional)

•References [1] Artemenko, Oleksandr ; Simon, Tobias ; Mitschele-Thiel, Andreas; Schulz, Dominik ; Ta, Muhammad Rheza S.: Comparison of Anchor Selection Algorithms for Improvement of Position Estimation During the Wi-Fi Localization Process in Disaster Scenario. In: The 37th IEEE Conference on Local Computer Networks (LCN). Clearwater, Florida, USA, 10 2012 •Focus 2 students theory / programming / hardware / measurements



Implementation and Comparison of Reference Selection Algorithms for Localization in Wireless Networks

8/24/15

•Description: •Existing literature barely considers a scenario including more than one mobile anchor (UAV). Usage of multiple UAV will improve the speed of localization process. Time is a crucial factor in the disaster scenario. •Tasks

–Literature research on the application of multiple UAVs in 2D and 3D scenarios –Implementation of one of the strategies in Python –Comparison of the scenario with one or multiple UAVs

•References [1] Artemenko, Oleksandr ; Rubina, Alina ; Golokolenko, Oleg ; Mitschele-Thiel, Andreas: How Different Trajectories of Moving Beacons Influence the Localization of Nodes in Disaster Scenarios Using Wireless Communication. In: The 17th International Symposium on Wireless Personal Multimedia Communications (WPMC’2014). Sydney, Australia, 09 2014 [2] Besada-Portas, E.; De La Torre, L.; de la Cruz, J.M.; de Andrés-Toro, B., "Evolutionary Trajectory Planner for Multiple UAVs in Realistic Scenarios," Robotics, IEEE Transactions on , vol.26, no.4, pp.619,634, Aug. 2010 •Focus 2 students theory / programming / hardware / measurements



Development of the Trajectory for Multi-UAV Scenario in Wireless Networks

8/24/15

• Description: Small unmanned aerial vehicles attract a lot of attention today. One of the most challenging tasks is a obstacle/collision avoidance. Ultrasonic-based obstacle avoidance algorithms are studied in this work.

• Tasks – Literature study on existing approaches on obstacle avoidance and requirements for them – Implementation of several different algorithms on UAV – Comparison of results – Extension of the best approach (optional)

• References [1] Borenstein, J.; Koren, Y., "Obstacle avoidance with ultrasonic sensors," Robotics and Automation, IEEE Journal of , vol.4,

no.2, pp.213,218, Apr 1988. doi: 10.1109/56.2085 [2] Frew, Eric, and Raja Sengupta. "Obstacle avoidance with sensor uncertainty for small unmanned aircraft." Decision and

Control, 2004. CDC. 43rd IEEE Conference on. Vol. 1. IEEE, 2004.

• Focus 1/2 student theory / programming / hardware / measurements


Prof. Dr.-Ing. Habil. Andreas Mitschele-Thiel M.Sc. Oleksandr Andryeyev

Advanced Ultrasonic-Based Obstacle Avoidance on Small UAVs

09.09.2015

• Description: Small unmanned aerial vehicles (UAVs) attract a lot of attention today. UAV should be able to safely take-off, land and follow some route. During these operations, UAV should consider the current state of environment. In addition, operator should be able to takeover control in case of emergency.

• Tasks – Literature study on existing approaches on safe take-off, landing and route following approaches – Implementation and comparison between chosen approaches on UAV – Extension of existing approaches (optional)

• References [1] Jahn, B.; Barth, A.; Wulff, K.; Simon, T.; Romisch, J., "Rate control and flight stabilization for a quadrotor system,"

Unmanned Aircraft Systems (ICUAS), 2013 International Conference on , vol., no., pp.642,649, 28-31 May 2013; doi: 10.1109/ICUAS.2013.6564744

[2] Eendebak, P. T., A. W. M. van Eekeren, and R. J. M. den Hollander. "Landing spot selection for UAV emergency landing." SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2013.

• Focus 1 student theory / programming / hardware / measurements


Prof. Dr.-Ing. Habil. Andreas Mitschele-Thiel M.Sc. Oleksandr Andryeyev

Safe Flight Routines For Small UAVs

09.09.2015

• Description: Implementation of trajectory-aware geographical routing in cognitive radio ad hoc networks

• Tasks – Study of trajectory aware geographical routing and related work – Extension of existing model on OMNeT++ – Investigation on results to make conclusion

• References - [1] Mehdi Harounabadi, Andre Puschmann, Oleksandr Artemenko, Andreas Mitschele-Thiel: TAG:

Trajectory Aware Geographical Routing in Cognitive Radio Ad hoc Networks with UAV Nodes, ADHOCNETs 2015, Sanremo, Italy, September 2015

- [2] http://www.omnetpp.org/documentation

• Focus 1 student Programming, paper review


Prof. Andreas Mitschele-Thiel Mehdi Harounabadi

Implementation of trajectory-aware geographical routing in cognitive radio ad hoc networks

06.09.2015 Page 1

http://www.tu-ilmenau.de/en/integrated-communication-systems-group/people/staff/?no_cache=1&staff_id=281




http://www.omnetpp.org/documentation

15.08.2013 www.tu- ilmenau.de/ei

_ms_csp

Page 37

Head: Prof. Dr.-Ing. Gerald Schuller

Applied Media Systems

topics for the mscsp advanced research projects winter semester 201 · 2015-09-28 · advanced...

Documents