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Calculus for MIMO multiuser performance measures

: Boche, H.; Jorswieck, E.; Sezgin, A.


Institute of Electrical and Electronics Engineers -IEEE-:
Fortieth Asilomar Conference on Signals, Systems and Computers 2006 : Pacific Grove, CA, 29 October - 1 November 2006
Piscataway, NJ: IEEE Operations Center, 2006
ISBN: 1-424-40784-2
ISBN: 1-4244-0785-0
Asilomar Conference on Signals, Systems and Computers <40, 2006, Pacific Grove/Calif.>
Conference Paper
Fraunhofer HHI ()
access protocol; concave programming; convex programming; interference signal; mean square error method; mimo communication; multiuser channel

In this paper, we review and combine recent results from multiuser MIMO MSE-based performance optimization and from concave and convex interference function calculus. First, a generalized MIMO MAC weighted MSE-based performance measure is developed using matrix-monotone functions. Next, the connection to interference functions is established. The representation of convex and concave interference functions are reviewed. Finally, the transition of a multiuser MIMO performance measure to the interference functions in terms of weighted sum optimization is shown.