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Near Optimum Power Control Under Fairness Constraints in CoMP Systems
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Automatic Control.
2009 (English)In: GLOBECOM 2009 - 2009 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, 2009, 5274-5281 p.Conference paper (Refereed)
Abstract [en]

We consider the problem of setting the uplink signal-to-noise-and-interference (SINR) target and allocating transmit powers for mobile stations in multicell spatial multiplexing wireless systems. Our aim is twofold: to evaluate the potential of such mechanisms in coordinated multipoint transmission (CoMP) systems, and to develop scalable numerical schemes that allow real-time near-optimal resource allocation across multiple sites. We formulate two versions of the SINR target and power allocation problem: one for maximizing the sum rate subject to power constraints, and one for minimizing the total power needed to meet a sum-rate target. To evaluate the potential of our approach, we perform a semi-analytical study in Mathematica using the augmented Lagrangian penalty function method. We find that the gain of the joint optimum SINR setting and power allocation may be significant depending on the degree of fairness that we impose. We develop a numerical technique, based on successive convexification, for real-time optimization of SINR targets and transmit powers. We benchmark our procedure against the globally optimal solution, and demonstrate consistently strong performance in realistic CoMP scenarios.

Place, publisher, year, edition, pages
2009. 5274-5281 p.
, IEEE Global Telecommunications Conference (Globecom), ISSN 1930-529X
National Category
URN: urn:nbn:se:kth:diva-26511DOI: 10.1109/GLOCOM.2009.5425800ISI: 000280579102049ScopusID: 2-s2.0-77951600055ISBN: 978-1-4244-4147-1OAI: diva2:387405
IEEE Global Telecommunications Conference (GLOBECOM 08) New Orleans, LA, NOV 30-DEC 04, 2008
QC 20110114Available from: 2011-01-14 Created: 2010-11-25 Last updated: 2011-01-14Bibliographically approved

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