One of the key success factors for future wireless networks will be the ability to provide a highly efficient and flexible radio resource and interference management among different users that compete for scarce wireless resources. Since the complexity of the underlying problems precludes the use of engineering common sense alone to identify good approaches, it is necessary to have a good understanding of the fundamental interdependencies and control mechanisms in wireless networks. Our research efforts cover different mechanisms for resource allocation and interference management in wireless networks, including congestion control, routing, load balancing, link scheduling and power control. A particular interest is attached to advanced multiple antenna and beam-forming technologies and to cross-layer optimisation (physical layer, MAC layer and network layer) for different air interfaces and key technology enablers for 5G wireless systems (such as for instance device-to-device communications). In more detail, the research topics include:
- Development of theoretical framework for resource allocation and interference management (feasibility regions, network utility maximisation, QoS support, convexity issues, proportional fairness, max-min fairness, efficiency versus fairness trade-off)
- Design and implementation of centralised and decentralised cross-layer algorithmic solutions with and without QoS requirements (convergence and convergence rate, monotonicity, joint transmit and receive beam-forming, connections to interference alignment, multiple antenna systems with multiple parallel data streams)
- Network stability aspects and stability-optimal strategies
- Functional architecture and feedback design
- D2D discovery and transmission mode selection for D2D communications
- Rateless and network coding
- Distributed and real-time implementation issues
Selected publications:
More than 10 years academic and industry experience, more than 15 IEEE Transactions and two books on resource allocation and interference management since 2004. The most recent publications include:
- A. Giovanidis, Q. Liao, and S. Stanczak, Measurement-Adaptive Cellular Random Access Protocols, Wireless Networks, Springer, 2014
- G. Wunder, J. Schreck, and P. Jung, Nearly Doubling the Throughput of Multiuser MIMO Systems Using Codebook Tailored Limited Feedback Protocol, IEEE Transactions on Wireless Communications, November 2012
- Anastasios Giovanidis and Slawomir Stanczak, Stability and Distributed Power Control in MANETs with Outages and Retransmissions, IEEE Transactions on Communications, vol. 59, no. 6, pp. 1632-1643, June 2011
- S. Maghsudi and S. Stanczak, Dynamic Bandit with Covariates: Strategic Solutions with Application to Wireless Resource Allocation, IEEE International Conference on Communications (ICC'13), June 2013
- S. Maghsudi and S. Stanczak, Transmission Mode Selection for Network-Assisted Device to Device Communication: A Levy-Bandit Approach, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '14), Florence, 2014
- S. Maghsudi and S. Stanczak, On Network-Coded Rateless Transmission: Protocol Design, Clustering and Cooperator Assignment, IEEE International Symposium on Wireless Communication Systems (ISWCS'12), Paris-France, Aug. 2012
- J. Bühler and S. Stanczak, Energy-efficient Relaying Using Rateless Codes, Proc. the 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013
- M. Kaliszan, E. Pollakis, and S. Stanczak, Multigroup Multicast with Application-Layer Coding: Beamforming for Maximum Weighted Sum Rate, IEEE Wireless Communications and Networking Conference (WCNC), Paris, Apr. 2012
- (book) S. Stanczak, M. Wiczanowski, and H. Boche, Fundamentals of Resource Allocation in Wireless Networks, 2nd ed., ser. Foundations in Signal Processing, Communications and Networking, W. Utschick, H. Boche, and R. Mathar, Eds. Berlin Heidelberg: Springer, 2009
![Fundamentals of Ressource Allocation book](/fileadmin/_processed_/1/a/csm_Fundamentals_of_Ressource_Allocation_book_10b980ae56.jpg)