Universität Rostock
Fakultät für Informatik und Elektrotechnik
Institut für Nachrichtentechnik
Masterthesis
Frequency prediction of the channel transfer functions in multiple
antenna systems
Having the channel state information (CSI) of the channels over which the signals propagate from the transmitter to the receiver available at both sides of the transmission link
is beneficial in many wireless applications. However, in frequency division duplex (FDD)
systems, a base station (BS) can only estimate the channel transfer function (CTF) of
the uplink channel based on the transmission of a priori known training signals from the
mobile station (MS). A MS can only estimate the CTF of the downlink channel based
on the transmission of a priori known training signals from the BS. Due to the frequency
selective behavior of the mobile radio channel, the CTFs of the uplink channel are different from the CTFs of the downlink channel. In order to obtain the CSI of the downlink
channel in the BS or the CSI of the uplink channel in the MS it is possible to feed back
this information from the MS to the BS or from the BS to the MS. However, this feedback
of the CSI decreases the spectral efficiency. Thus, it is desirable to obtain the knowledge
of the downlink channel in the BS without any feedback from the MS.
In this work, the following tasks are expected to be completed.
• Inspection of state of the art techniques to predict the CTFs in single–input single–
output (SISO) systems and in multiple–input multiple–output (MIMO) systems.
• Precisely analysis of linear techniques to predict the CTFs.
• Comparison of in general suboptimum Least Squares techniques to predict the CTFs
and the optimum Wiener–Filter technique based on monte carlo simulations.
Literature
[EDHH98] Eyceoz, T.; Duel-Hallen, A.; Hallen, H.: Deterministic Channel Modeling and
Long Range Prediction of Fast Fading Mobile Radio Channels. Bd. 2, 1998,
S. 254–256.
[PW09]
Palleit, N.; Weber, T.: Obtaining Transmitter Side Channel Sate Information
in MIMO FDD Systems. Proc. International Symposium on Personal, Indoor
and Mobile Radio Communications (PIMRC’09), 2009.
[SK02]
Semmelrodt, S.; Kattenbach, R.: A 2–D Fading Forecast of Time–Variant
Channels Based on Parametric Modeling Techniques. 2002.
Lehrstuhl:
Ansprechpartner:
E-Mail:
Adresse:
Prof. Dr.-Ing habil. Tobias Weber
Nico Palleit
[email protected]
Haus 8, Raum 8.204, Warnemünde