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Overview of Research Areas and Contributions

Overview of Research Areas and Contributions. Tareq Y. Al-Naffouri Director Office of Cooperation with KAUST Assistant Professor Electrical Engineering. Major Milestones. PhD (Stanford), Jan. 2005 Assistant Prof. (KFUPM), May 2005 Two month summer visit (Cal Tech), Summer 2006

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Overview of Research Areas and Contributions

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  1. Overview of Research Areas and Contributions Tareq Y. Al-Naffouri Director Office of Cooperation with KAUST Assistant Professor Electrical Engineering

  2. Major Milestones • PhD (Stanford), Jan. 2005 • Assistant Prof. (KFUPM), May 2005 • Two month summer visit (Cal Tech), Summer 2006 • Fulbright Scholar (USC), Feb-Aug. 2008 • Director of Cooperation with KAUST Office, Nov. 2008 • Applied to Assoc. Prof., Jan. 10th 2009

  3. Research Areas and Collaborations During PhD After joining KFUPM

  4. An Analogy German French Spanish Training Useful Instruction

  5. Greek German Russian French Portuguese Spanish This happens every semester Second Semester First Semester

  6. How can we reduce the training over German Greek French Russian Spanish Portuguese

  7. Useful Transmission Training Digital Communication Scenario • Receiver needs to know the communication medium to recover the transmitted data reliably • Some of transmission time sacrificed for the sake of training 0 1 0 0 1 1 … 0 1 0 0 1 1 …

  8. Multiple Transmit Antennas • With multiple antennas, we can transmit more data • … But then more training is needed

  9. Problem Compounded by Mobility • With mobility, we need to train more often as the medium keeps changing

  10. How to reduce the training overhead • Utilize correlation/similarities between different channels, e.g. • Spacing between antennas • Speed of car • The more similarities used the lower the training needed

  11. Around 5 dB gain in performance Figure shows error rate comparison between our algorithm and best algorithm known in literature ٍState of the art performance ٍOur algorithm

  12. Our contributions • Identified and utilized all possible dimensions (seven) of similarity to reduce training overhead • Training done in a transparent manner using a dynamic program “Forward Backward Kalman Filter” • Research resulted in • 2 Master Theses • 2 IEEE papers • 2 top European Journal papers • Book Chapter • Patent (pending)

  13. Combating Impulsive Noise in DSL • Impulsive noise is a rare phenomenon • But when it occurs it destroys the transmitted signal completely • Caused by bursty disturbances • Car ignition • Telephone Network switching • A vacuum cleaner

  14. Typical DSL Signal + Impulsive Noise • Impulse prob: 3x10^-3 • Impossible to differentiate signal from Imp. Noise • Can not simply combat noise by clipping • Result is a punctured signal

  15. Water Domain Air Domain Immerse tire in water; Locate & eliminate puncture Transmission Band (signal + noise) Guard Band Guard Band Freq Domain Time Domain Noise Estimation and Cancellation

  16. Effective Tech. for Combating Impulsive Noise ٍNo impulsive noise Estimate/Remove Predict presence of noise Rate Puncture Impulse probability Around 35% increase in rate

  17. Our Contributions • Work used an emerging technique for identifying sparse phenomena from few observations • Work done jointly with a Prof. at USC • Research resulted in • M.S. Thesis (in progress) • 2 IEEE papers (in progress) • Pending patent • Working on establishing a research group for estimation of sparse phenomena

  18. Multi-user Information Theory Mgt. Engl. K subjects N students M Professors Math Phys. The larger the number of students, the more difficult it is to cover the material properly

  19. Broadcasting to Groups of Users Cartoon

  20. Assume there are • K TV/Radio channels • N users • M Transmitters What is the information rate that can received reliably?

  21. How can we maintain a constant rate with increasing no. of users? Increase the number of Antennas • How much should the number of antennas grow to maintain a constant rate? and you should not grow at any lower rate

  22. Our Contributions • Study is first of its kind; researchers in past focused on independent users • Study done jointly with researchers at Cal Tech • Research resulted in • M.S. Thesis (in progress) • 2 IEEE papers • European Journal paper

  23. Research Time-Line

  24. Thank You

  25. Greek Russian Portuguese How to Reduce the Training Period? German French Spanish Use similarities and correlations between the various languages to reduce the training period

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