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Coordinated Multicell Multiuser Precoding for Maximizing Weighted Sum Energy Efficiency
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2298-6774
2014 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 62, no 3, 741-751 p.Article in journal (Refereed) Published
Abstract [en]

Energy efficiency optimization of wireless systems has become urgently important due to its impact on the global carbon footprint. In this paper we investigate energy efficient multicell multiuser precoding design and consider a new criterion of weighted sum energy efficiency, which is defined as the weighted sum of the energy efficiencies of multiple cells. This objective is more general than the existing methods and can satisfy heterogeneous requirements from different kinds of cells, but it is hard to tackle due to its sum-of-ratio form. In order to address this non-convex problem, the user rate is first formulated as a polynomial optimization problem with the test conditional probabilities to be optimized. Based on that, the sum-of-ratio form of the energy efficient precoding problem is transformed into a parameterized polynomial form optimization problem, by which a solution in closed form is achieved through a two-layer optimization. We also show that the proposed iterative algorithm is guaranteed to converge. Numerical results are finally provided to confirm the effectiveness of our energy efficient beamforming algorithm. It is observed that in the low signal-to-noise ratio (SNR) region, the optimal energy efficiency and the optimal sum rate are simultaneously achieved by our algorithm; while in the middle-high SNR region, a certain performance loss in terms of the sum rate is suffered to guarantee the weighed sum energy efficiency.

Place, publisher, year, edition, pages
2014. Vol. 62, no 3, 741-751 p.
Keyword [en]
Coordinated multicell precoding, energy efficient optimization, sum rate maximization, weighted sum energy efficiency maximization
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-142876DOI: 10.1109/TSP.2013.2294595ISI: 000330771300019ScopusID: 2-s2.0-84893220104OAI: diva2:704949
EU, FP7, Seventh Framework Programme, 228044

QC 20140313

Available from: 2014-03-13 Created: 2014-03-13 Last updated: 2014-03-13Bibliographically approved

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Ottersten, Björn
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