Student Projects / Hauptseminar Topics (preliminary list)
Coach
1
Ultra-Wideband Channel Model
Nuan Song
2 3
Diversity and Multiplexing Gain for MIMO Channels Receive Antenna Selection for Multi-user MIMO System with BD precoding
Bin Song Bin Song
4
Beamforming with realistic channel models
Martin Weis
5 6
Extending the Two-Way Relaying link-level simulator Florian Römer The V-BLAST (Vertical Bell Labs Layered Space-Time) transmission scheme Florian Römer Single-user MIMO transmission techniques with imperfect channel knowledge Florian Römer
7
Ilmenau University of Technology Communications Research Laboratory
Project #1 - Ultra-Wideband Channel Model
Topic: Ultra-Wideband Channel Model Goal: Based on the IEEE 802.15.4a channel model, to explore the robustness of UWB signals to the small scale fading. Tasks: ⇒ Literature study on your understanding of the UWB communications and channel models. ⇒ To generate channel impulse responses for IEEE 802.15.4a channel models [1]. ⇒ To analyze the impacts of small scale fading [2] on the UWB systems that use non-coherent detection Coach: Nuan Song Nuan Song Mike Wolf Contact: People: 1 student
[1] A. F. Molisch et al., “IEEE 802.15.4a channel model – final report,” Tech. Rep. Document IEEE 802.15-04-0662-02-004a, 2005. [2] M. Wolf, G. Del Galdo, and M. Haardt, “Performance Evaluation of Ultra-Wide Band Compared to Wireless Infrared Communications,” in The European Conference on Wireless Technology, 2005, pp. 193–196.
Ilmenau University of Technology Communications Research Laboratory
Project #2 - Diversity and Multiplexing Gain for MIMO Channels Motivation:
Diversity
¾ Multiple antennas can be used for increasing the amount of diversity or the number of degrees of freedom in wireless communication systems.
Benefit: lower Error Prob. Require: send same information
¾ The conflict suggests a fundamental tradeoff between benefits obtained from diversity and multiplexing.
Multiplexing Benefit: higher rate
Tasks:
Require: send indep. information
¾ Study on Diversity and Multiplexing.
¾ Give a simple characterization of the optimal tradeoff curve by using the method in the reference. ¾ The implement scenario is Rayleigh fading channel.
Reference: Reference:
Coach: Bin Song
¾ L. Zheng and D. Tse: “Diversity and Multiplexing: A fundamental tradeoff in multiple-antenna channels”, IEEE Trans. on Information Theory, vol. 49, No. 5, May 2003.
People: 2 students
Ilmenau University of Technology Communications Research Laboratory
3
Project #3 - Receive Antenna Selection for MultiMulti-user MIMO System with BD precoding Motivation: ¾ A faster selection algorithm when a MIMO system employ a large number of users. ¾ The purpose is to achieve maximum capacity with low additional cost.
Tasks: ¾ Literature study on block diagonalization (BD) linear precoding technique. ¾ Well understand to null space and subspace projection. ¾ Implement the receive antenna selection algorithm in Rayleigh fading channels.
Reference: Reference: ¾ Q. H. Spencer, A. L, Swindlehurst, and M. Haardt: “Zero-forcing methods for downlink spatial multiplexing in multi-user MIMO channels”, IEEE Trans. Signal Processing, vol. 52, Feb. 2004 ¾ Y. Wu, J. Zhang, H. Zheng, X. Xu and S. Zhou: “Receive antenna selection in the downlink of multiuser MIMO systems”, in Proc. IEEE IWCMC, vol. 1, June 2005
Ilmenau University of Technology Communications Research Laboratory
Coach: Bin Song People: 2 students
4
Project #4 - Beamforming with realistic channel models 3 Dimensional, geometry based MIMO channel model time and frequency variant multiple coexisting users users have different speed / direction of motion point - like scatterers Obstacles/buildings introduce shadowing m – bounce paths various antenna types supported (ULA, UCA …)
single bounce LOS
double bounce obstacles/buildings
www.tu-ilmenau.de/ilmprop
trajectory
scatterers
Ilmenau University of Technology Communications Research Laboratory
Project #4 - Beamforming with realistic channel models Antennas Radiated Power
Weights
Beamforming weights can be chosen via different algorithms
Tasks: azimuth
Capons Beamformer Bartlett Beamformer Eigenbeamforming? Robust Beamforming?
Performance analysis via IlmProp Comparison of the different algorithms
Coach: Martin Weis People: 1-2 students
Implementation of different beamforming algorithms in MATLAB
Vector of beamforming weights Ilmenau University of Technology Communications Research Laboratory
Project #5 - Extending the TwoTwo-Way Relaying linklink-level simulator
1 time slot 1 time slot 2 time slots
Two-Way Relaying ⇒ achieves bidirectional communication via a relay station with just two time slots ⇒ actual data transmission via very simple single-user MIMO techniques
RS BS
We need to simulate system performance ⇒ bit error rate, frame error rate, throughput ⇒ realistic channel conditions
UT1
UT2
UT – user terminal RS – relay station BS – base station
Extend an existing simulator: ⇒ Support of multi-stream transmission ⇒ Support of channel coding (using Matlab’s communication toolbox) ⇒ Support of realistic channels (link to IlmProp)
Coach: Florian Römer People: 1 student
⇒ GUI?
Requirement: Experience in structured + modular programming in Matlab! Ilmenau University of Technology Communications Research Laboratory
7
Project #6 - The V-BLAST transmission scheme Topic: The V-BLAST (Vertical Bell Labs Layered Space-Time) transmission scheme Description: V-BLAST is a transmission scheme for MIMO communication systems. The goal of the project is to give an overview how V-BLAST works and to evaluate its performance. The scheme should be compared to alternative MIMO transmission schemes to identify its advantages and drawbacks. Matlab simulations should be carried out to support the evaluation. [1] Foschini, G.J “Layered space-time architecture for wireless communication in a fading environment when using multiple antennas”, Bell Lab. Tech. J.,vol. 1,N. 2, pp. 41-59, 1996. [2] Wolniansky, P.W.; Foschini, G.J.; Golden, G.D.; R.A. Valenzuela, R.A.; “V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel”, ISSSE 1998, URSI International Symposium, pp. 295 –300
Coach: Florian Römer People: 1-2 students
Ilmenau University of Technology Communications Research Laboratory
Project #7 - SingleSingle-user MIMO transmission techniques with imperfect channel knowledge Topic: Single-user MIMO transmission techniques with imperfect channel knowledge Description: There exists a large manifold of transmission techniques to take advantage of multiple antennas in a MIMO system. These include open-loop techniques (such as space-time block coding) as well as closed-loop techniques (such as adaptive linear precoding). All of these techniques have in common that they require some form of channel information, either at the transmitter or at the receiver (or at both link ends). In practice the channel has to be estimated and therefore this information is erroneous. In this project, the sensitivity of various single-user MIMO transmission techniques to wrong channel Coach: Florian Römer state information shall be compared through Matlab simulations.
People: 1-2 students
Ilmenau University of Technology Communications Research Laboratory
