Mixed-integer linear programming framework for max-min power control with single-stage interference cancellation

We consider a wireless network comprising a number of mutually-interfering links. We study the transmit power control problem that determines the egalitarian signal-to-interference-plus-noise ratio under a novel setup. Namely, we assume that the receivers have multiuser detection capability, which e...

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Veröffentlicht in:2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) S. 3448 - 3451
Hauptverfasser: Karipidis, Eleftherios, Yuan, Di, Larsson, Erik G.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2011
Schlagworte:
Combinatorial optimization
Integrated circuits
Interference
interference cancellation
linear programming
multiuser detection
Optimization
Power control
Receivers
Signal to noise ratio
ISBN:9781457705380, 1457705389
ISSN:1520-6149
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Beschreibung
Zusammenfassung:We consider a wireless network comprising a number of mutually-interfering links. We study the transmit power control problem that determines the egalitarian signal-to-interference-plus-noise ratio under a novel setup. Namely, we assume that the receivers have multiuser detection capability, which enables decoding and cancellation of the interference, when it is strong enough. Determining the interference terms that can be cancelled is a combinatorial problem, which is intertwined with the power control problem. We propose a mixed-integer linear programming framework that jointly solves these problems optimally, using off-the-shelf algorithms. We illustrate with a simulation result the merit of the novel approach against the conventional one that precludes interference cancellation.
ISBN:9781457705380
1457705389
ISSN:1520-6149
DOI:10.1109/ICASSP.2011.5947127