Brief description of the project:

Mobile-to-mobile communications find increasing applications in mobile ad-hoc networks, wireless sensor networks, and intelligent transport systems, which require direct communication between a mobile transmitter and a mobile receiver over a wireless medium. Such mobile-to-mobile communication systems differ from the conventional cellular radio systems, where the Base Station is stationary and only the Mobile Station is moving. Moreover, in order to satisfy the growing demands for high data rate transmission, all aforementioned applications have broad bandwidth that corresponds to a frequency-selective channel.

The employment of multiple antennas at both the transmitter and receiver enables the so-called Multiple Input Multiple Output (MIMO) technologies to greatly improve the link reliability and increase the overall system capacity. This makes MIMO techniques very attractive for wideband mobile-to-mobile communication systems. For the design and test of such wideband MIMO mobile-to-mobile systems, we need to have a thorough understanding and an accurate modelling of the underlying channels. For this purpose, the Geometrically-Based Stochastic Model (GBSM) has been applied for wideband MIMO mobile-to-mobile channel modelling. The most important GBSMs include the one-ring model, two-ring model and elliptical-ring model, in which the elliptical-ring model is predestinated for modelling of wideband MIMO channels in microcellular and picocellular environments.

In this project, the statistical properties of wideband MIMO mobile-to-mobile wireless fading channels in non-isotropic scattering environments will be investigated in detail based on the elliptical-ring model. The interested properties include space-time-frequency correaltion properties, space-Doppler-frequency power spectral density, level-crossing rate, and average fading duration. If the project progress is well, the corresponding MIMO mobile-to-mobile channel simulator will be further developed.

Software/Hardware needs:
Matlab

Special remarks:
Matlab programming skills and some background knowledge in Mobile Communications and statistics are required for the successful completion of this project.

Background knowledge:

Gordon L. Stüber, “Principles of Mobile Communication”, 2nd edition, Kluwer Academic Publishers, Boston, 2001. Chapter 2: Propagation modeling

Mobile-to-mobile:

1. Overview of mobile-to-mobile channel models:
[1] A. S. Akki and F. Haber, “A statistical model for mobile-to-mobile land communication channel,” IEEE Trans. Veh. Technol., vol. VT-35, no. 1, pp. 2–7, Feb. 1986.
[2] A. S. Akki, “Statistical properties of mobile-to-mobile land communication channels,” IEEE Trans. Veh. Technol., vol. 43, no. 4, pp. 826–831, Nov. 1994.

2. Recent papers:
[3] C. S. Patel, G. L. Stüber, and T. G. Pratt, “Simulation of Rayleigh faded mobile-to-mobile communication channels,” IEEE Trans. Commun., vol.53, no. 11, pp. 1876-1884, Nov. 2005.
[4] G. Acosta, K. Tokuda, and M. A. Ingram, “Measured joint Dopplerdelay power profiles for vehicle-to-vehicle communications at 2.4 GHz,” in Proc. IEEE Global Telecommun. Conf., vol. 6, Dallas, TX, Nov. 2004, pp. 3813–3817.
[5] G. Acosta and M.A. Ingram, "Six Time- and Frequency-Selective Empirical Channel Models for Vehicular Wireless LANs," 1st IEEE International Symposium on Wireless Vehicular Communications, Sept 30 - Oct 1, 2007.

MIMO:

1. Overview of MIMO channel models:
[6] P. Almers, and E. Bonek, etc., “Survey of Channel and Radio Propagation Models for Wireless MIMO Systems,” EURASIP Journal on Wireless Communications and Networking, vol. 2007, pp. 1–19, 2007.

2. Dr. Wang’s MIMO paper: Introduction part.
[7] Cheng-Xiang Wang, Xuemin Hong, Hanguang Wu, and Wen Xu, “Spatial temporal correlation properties of the 3GPP spatial channel model and the Kronecker MIMO channel model”, EURASIP Journal on Wireless Communications and Networking, Special Issue on Space-Time Channel Modeling for Wireless Communications, vol. 2007, Article ID 39871, 9 pages, 2007. doi:10.1155/2007/39871.

3. K. Ebruke’s Master thesis supervised by Dr. Wang.
[8] K. Ebruke, "A study on geometrially-based stochastic MIMO channel models," Master thesis, 2007.

MIMO mobile-to-mobile:

1. Mr. Cheng and Dr. Wang’s papers:.
[9] X. Cheng, C.-X. Wang, and D. I. Laurenson, “Space-time-frequency characterization of non-isotropic MIMO mobile-to-mobile multicarrier Ricean fading channels,” IEEE IWCMC’08, Chania Crete Island, Greece, submitted for publication.
[10] X. Cheng, C.-X. Wang, and D. I. Laurenson, “A generic geometrical-based MIMO mobile-to-mobile channel model,” IEEE IWCMC’08, Chania Crete Island, Greece, submitted for publication.

2. Other related papers:
[11] A. G. Zajic and G. L. Stuber, “Space-Time Correlated MIMO Mobile-To-Mobile Channels,” in Proc. of IEEE PIMRC2006, Helsinki, Finland, Sep. 2006, pp.1-5.
[12] A. G. Zajic and G. L. Stuber, “Three-Dimensional Modeling, Simulation and Capacity Analysis of Space-Time Correlated Mobile-to-Mobile Channels,” IEEE Trans. Veh. Technol., to be published.
[13] A. Paier, J. Karedal, N. Czink, H. Hofstetter, C. Dumard, T. Zemen, F. Tufvesson, C. F. Mecklenbräuker, and A. F. Molisch, “First results from car-to-car and car-to-infrastructure radio channel measurements at 5.2 GHz,” in COST2100, Duisburg, Germany, September 10-12, 2007, pp. 1 – 13.

• Thesis    
• Paper    
• Poster   
• Presentation