1. Gerald Matz, Franz Hlawatsch, and Dominik Seethaler
Vienna University of Technology (VUT 24) in Cluster 2 “Signal Processing for MIMO Systems”
Gerald Matz, Franz Hlawatsch, and Dominik Seethaler

2. Outline Our focus in MIMO signal processing Offers for cooporation
Example of joint activity of CNRS (19) and VUT (24)

3. Our Focus in MIMO Signal Processing
MIMO receivers:
Efficient detection algorithms
Efficient soft demodulation algorithms for MIMO-BICM
Channel estimation
MIMO transmission:
Efficient precoding algorithms
Space-Time Coding
MIMO signal processing with mismatched CSI

4. Possible Cooporation (1)
Efficient detection and precoding algorithms for MIMO-OFDM:
Algorithms are usually designed for flat-fading and are based on knowledge of channel realization
Straightforward extension to MIMO-OFDM: Apply these algorithms for each subcarrier
However, subcarriers are strongly correlated
Goal: Exploit these correlations to reduce the computational complexity of detection, demodulation and precoding algorithms
In particular, complexity could be strongly reduced for algorithms with many „channel computations“ (e.g. LLL-based schemes)

5. Possible Cooporation (2)
„Line search detection“ (LSD) for precoding and demodulation
Conventional efficient (sub)optimal detection schemes fail in the case of ill-conditioned (i.e. „bad“) channel realizations
The LSD (and other versions of it) can efficiently achieve near-ML performance by being robust to of bad channels
Goal: Extend the LSD principle to precoding and soft demodulation
First result: ICC05

6. Possible Cooporation (3)
Efficient detection algorithms for higher order modulation:
Many detection algorithms for MIMO systems emerged from multiuser detection just considering BPSK (or 4-QAM) modulation
No efficient detection algorithms with near-ML performance exist for higher order modulation (16-QAM, 64-QAM …)
Goal: Development of efficient near-ML detection algorithms tailored to higher order modulation

7. Cluster 2: Joint Activity of CNRS and VUT
Analysis and design of MIMO Transceivers with mismatched CSI
Goals:
Information theoretic analysis of MIMO transmission with mismatched CSI
Development of corresponding transeiver design guidelines (signaling, decoding, etc…)
People involved:
Samson Lasaulce and Pablo Piantanida (CNRS/LSS),
Gerald Matz (VUT)
Planned exchanges:
Pablo at VUT from mid-May to mid-August
Samson at VUT from mid-July to mid-August
Gerald at LSS for two weeks in September