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Efficient MIMO Signal Processing & Cooporation Possibilities

Explore advanced MIMO signal processing techniques & potential cooporation opportunities with CNRS at VUT. Focus on detection, precoding, CSI, and more. Joint research activities for efficient MIMO transceivers.

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Efficient MIMO Signal Processing & Cooporation Possibilities

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  1. 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

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