ADVANCED SIGNAL PROCESSING ALGORITHMS AND USER MOBILITY FOR WIRELESS COMMUNICATIONS

1. ADVANCED SIGNAL PROCESSING ALGORITHMS AND USER MOBILITY FOR WIRELESS COMMUNICATIONS Erdal Panayırcı Electronics Engineering DepartmentIŞIK University

2. OBJECTIVES 1.Advanced Signal Processing Algorithms for Wireless Communication • Future generation wireless commun. systems are confronted with new challenges mainly due to • Hostile channel characteristics • Limited bandwidth • Very high data rates Plenary Department 1 Meeting, May 13, 2005, Paris

3. Advanced Signal Proc. techniques such as The Expectation-Maximization algorithm The SAGE algorithm The Baum-Welch algorithm Sequential Monte Carlo Techniques Kalman filters and their extensions Hidden Markov modeling Stochastic approximation algorithms Plenary Department 1 Meeting, May 13, 2005, Paris

4. In collaboration with Inexpensive and Rapid computational power provide powerful tools to overcome the limitations of current technologies. Plenary Department 1 Meeting, May 13, 2005, Paris

5. The overall objective  Adapt such high-performance and optimal statistical signal processing algorithms to combat imperfections in hostile communication environment  Optimize the complexity to implement such algorithms suitable for real-time implementations with present-generation hardware Plenary Department 1 Meeting, May 13, 2005, Paris

6. Applications of advanced signal processing algorithms, include, but are not limited to Joint/Blind/Adaptive • Parameter estimation • Synchronization • Multi-user detection • Diversity exploitation • Channel Equalization • Adaptive coding and Sphere decoding Plenary Department 1 Meeting, May 13, 2005, Paris

7. These techniques are employed in advanced wireless communication systems such as OFDM/OFDMA CDMA MIMO,Space-time-frequency Coding Multi-User detection Plenary Department 1 Meeting, May 13, 2005, Paris

8. Especially, development of the suitable algorithms for wireless multiple access systems in Non-stationary Interference-rich environments presents major challenges to us. Plenary Department 1 Meeting, May 13, 2005, Paris

9. The Key Knowledge Gaps Theoretical performance and convergence analysis of these Algorithms Some new efficient algorithms need to be worked out and developed for some of the problems mentioned above Computational complexity problems of these algorithms when applied to on-line implementations of some algorithms running in the digital receivers must be handled. Plenary Department 1 Meeting, May 13, 2005, Paris

10. Implementation of these algorithms based on batch processing and sequential (adaptive) processing depending on how the data are processed and the inference is made has not been completely solved for some of the techniques mentioned above. Plenary Department 1 Meeting, May 13, 2005, Paris

11. OBJECTIVES 2. User Mobility Tracking and Hand- off Algorithms • To understand the nonlinear dynamics which take place between Roaming, cell hand-off, and mobilty tracking. • To overcome limitations of the present -generation Kalman filter tracking approach  To aim is to design seamless and cost effective hand-off algorithms suitable for future generation systems Plenary Department 1 Meeting, May 13, 2005, Paris

12. First NEWCOM Department 1 SWP 3 Meeting Louvain, Belgium April 22, 2005, • In order to determine  the major partners involved in Dept 1 SWP 3  the main problems addressed  the possible road map and the collaboration between partners A first NEWCOM Department 1 SWP 3 Meeting was held in Louvain, Belgium on April 22, 2005, Plenary Department 1 Meeting, May 13, 2005, Paris

13. List of Participants • Erdal Panayırcı, ISIK University, e.mail: eepanay@isikun.edu.tr • Luc Vandendorpe, UCL, e.mail: vandendorpe@tele.ucl.ac.be • Marc Moeneclaey, UGent - TELIN dept., e.mail: Marc.Moeneclaey@telin.UGent.be • Alister Burr, University of York, e.mail: alister@ohm.york.ac.uk • Konstantinos Nikitopoulos, National and Kapodistrian University of Athens, e.mail: cnikit@cc.uoa.gr • Christian Kuhn, Munich University of Technology, e.mail: christian.kuhn@tum.de Plenary Department 1 Meeting, May 13, 2005, Paris

14. List of Participants (cont.) 7. Alaa Ghaith, Yi Yuan, France Telecom R&D, e.mail:alaa.ghaith@francetelecom.com 8. Dirk T.M. Slock, Eurecom Institute, e.mail: dirk.slock@eurecom.fr 9. Alexander Kocian, Aalborg University, e.mail: ak@kom.aau.dk 10. Montse Nájar, Universitat Politècnica de Catalunya, e.mail: najar@gps.tse.upc.es 11. Cedric Herzet, UCL, e.mail: herzet@tele.ucl.ac.be 12. Valery Ramon, UCL, e.mail: ramon@tele.ucl.ac.be Plenary Department 1 Meeting, May 13, 2005, Paris

15. List of Presentations 1. Advanced Signal Processing Techniques for Wireless Communications, Erdal Panayırcı, ISIK University 2. Estimation and detection from coded signals, Marc Moeneclaey, UGent - TELIN dept. 3 Advanced Signal Processing Algorithms and Mobility Alister Burr, University of York 4. Phase Impairment Effects and Compensation Impairment Effects and Compensation Algorithms for OFDM Systems Algorithms for OFDM Systems Konstantinos Nikitopoulos, Andreas Polydoros, National and Kapodistrian University of Athens Plenary Department 1 Meeting, May 13, 2005, Paris

16. List of Presentations (cont.) 5. A List-Sequential (LISS) Multiuser Detector for Turbo Schemes, Christian Kuhn, Joachim Hagenauer, Norbert Görtz, Munich University of Technology, 6. EM-based Iterative Channel Estimation, Interference Cancellation and Data Decoding for DS-CDMA, Bin Hu, Alexander Kocian, Ingmar Land, Bernard H. Fleury, Asger Hviid, Romain Piton, Joachim Wehinger, Thomas Zemen, Aalborg University 7. Iterative OS vs IC with mapping optimization for Coded M-QAM modulation, Alaa Ghaith, Yi Yuan, France Telecom R&D 8. Advanced Signal Processing Algorithms and Mobility, Dirk T.M. Slock, Eurecom Institute. 9. Mobile Location With Bias Tracking In Non-Line-Of-Sight, Montse Nájar, Universitat Politècnica de Catalunya Plenary Department 1 Meeting, May 13, 2005, Paris

17. The Main Problems Addressed During these presentations following problems have addressed: • The use of EM and SAGE algorithms for several synchronization, interference cancellation, channel estimation and decoding problems • The use of Sequential Monte Carlo technique to Phase noise estimation problem • Iterative joint decoding and carrier phase/MIMO channel estimation • Joint multi-user detection and channel estimation for space time-turbo codes Plenary Department 1 Meeting, May 13, 2005, Paris

18. The Main Problems Addressed (cont.) • Iterative multiuser detectors and decoding • List sequential multiuser detector • A new iterative observation separation technique for turbo detection of data problems • EM algorithm for kalman based channel estimation and adaptive filtering Plenary Department 1 Meeting, May 13, 2005, Paris

19. The Main Problems Addressed (cont.) • Application of Kalman filtering to mobility tracking • Sphere decoding • Mobile localization by bias tracking technique Plenary Department 1 Meeting, May 13, 2005, Paris

20. Possible road map and Collaboration between partners Some collaboration among partners has already began. Some Exmaple: • Univ. of Pisa, UCL and University of Ghent • Isik University and University of Ghent Plenary Department 1 Meeting, May 13, 2005, Paris