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An axiomatic approach to resource allocation and interference balancing

 
: Boche, H.; Schubert, M.; Stanczak, S.; Wiczanowski, M.

:

IEEE Signal Processing Society:
IEEE International Conference on Acoustics, Speech, and Signal Processing 2005. Proceedings. Vol.3: Audio and electroacoustics. Signal processing for communications : May 18 - 23, 2005, Pennsylvania Convention Center/Marriott Hotel, Philadelphia, Pennsylvania, USA
Piscataway, NJ: IEEE Operations Center, 2005
ISBN: 0-7803-8874-7
S.545-548
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) <2005, Philadelphia/Pa.>
Englisch
Konferenzbeitrag
Fraunhofer HHI ()
interference suppression; multiuser channels; optimisation; quality of service; radio links; radiofrequency interference; resource allocation; set theory; signal processing

Abstract
We propose a general framework for joint resource allocation and interference control for classes of interference functions based on an axiomatic model. This model holds for a wide range of multiuser channels and even allows the incorporation of interference suppression techniques. The quality of service (QoS) of each user is modeled as a function of the interference. It is shown that for certain mappings between interference and QoS, the resulting achievable region is a convex set. Furthermore, we show that the problem of optimizing the sum of weighted QoS over the transmit powers is convex for certain classes of QoS functions. The choice of the weights determines the trade-off between fairness and overall efficiency. The problem can be solved efficiently by standard convex optimization techniques.

: http://publica.fraunhofer.de/dokumente/N-55037.html