Dipl.-Ing. Emmanuel Pollakis

Contact:

Room: G109 Telephone: +49(0)30 31002-860 Email: emmanuel.pollakis@hhi.fraunhofer.de

Research interests:

• Convex optimization
• Self-organizing networks
• Machine learning
• Multicast communication
• Resource allocation and interference management in wireless networks
• Distributed wireless networks
• Cellular radio systems (GSM, UMTS, LTE/LTE-A)

Projects:

• COMGREEN - Communicate Green (BMWi)
• greennets - GreenNets

Theses:

• Rateless Coding for Efficient Information Distribution in Downlink Multiple Antenna Systems (Diploma Thesis at University of Technology Dresden in cooperation with German-Sino Lab for Mobile Communications)
• Demonstration of Adaptive Target Tracking in Indoor Environments Based on Signal Strength (Student Project at University of Technology Dresden in cooperation with University of British Columbia)

Publications:

Conference, Symposium, and Workshop Papers

• Enhancing energy efficient network operation in multi-RAT cellular environments through sparse optimization
  E. Pollakis, R. Cavalcante, and S. Stanczak, The IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Darmstadt, Germany, June 2013.
• Multigroup Multicast with Application-Layer Coding: Beamforming for Maximum Weighted Sum Rate
  M. Kaliszan, E. Pollakis, and S. Stanczak, 2012 IEEE Wireless Communications and Networking Conference (WCNC), Paris, France, Apr. 2012, accepted.
• Robust Interference Identification for Multi-RAT Optimization in Wireless Cellular Networks
  E. Pollakis, R. L. G. Cavalcante, S. Stanczak, and F. Penna, IEEE Dynamic Spectrum Access Networks (DySPAN), October 2012, accepted.
• Base station selection for energy efficient network operation with the majorization-minimization algorithm
  E. Pollakis, R. L. G. Cavalcante, and S. Stanczak, IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), June 2012, best student paper.
• Efficient Beamforming Algorithms for MIMO Multicast with Application-Layer Coding
  M. Kaliszan, E. Pollakis, and S. Stanczak, 2011 IEEE International Sysmposium on Information Theory (ISIT), 2011, accepted.
• A comparison between Unscented Kalman Filtering and particle filtering for RSSI-based tracking
  L. Kung-Chung, A. Oka, E. Pollakis, and L. Lampe, Positioning Navigation and Communication (WPNC), 2010 7th Workshop on, Mar. 2010, pp. 157 - - 163.