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Power Minimizer Symbol-Level Precoding: A Closed-Form Suboptimal Solution
University of Luxembourg.ORCID iD: 0000-0003-2298-6774
2018 (English)In: IEEE Signal Processing Letters, ISSN 1070-9908, E-ISSN 1558-2361, Vol. 25, no 11, p. 1730-1734Article in journal (Refereed) Published
Abstract [en]

In this letter, we study the optimal solution of multiuser symbol-level precoding (SLP) for minimization of the total transmit power under given signal-to-interference-plus-noise ratio constraints. Adopting the distance preserving constructive interference regions (DPCIR), we first derive a simplified reformulation of the problem. Then, we analyze the structure of the optimal solution using the Karush-Kuhn-Tucker optimality conditions. This leads us to obtain a closed-form suboptimal SLP solution (CF-SLP) for the original problem. Meanwhile, we obtain the necessary and sufficient condition under which the power minimizer SLP is equivalent to the conventional zero-forcing beamforming (ZFBF). Simulation results show that CF-SLP provides significant gains over ZFBF, while performing quite close to the optimal SLP in scenarios with rather small number of users. The results further indicate that the CF-SLP method has a reduction of order 103 in computational time compared to the optimal solution. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. Vol. 25, no 11, p. 1730-1734
Keywords [en]
Interference;Precoding;Optimization;Signal to noise ratio;Linear matrix inequalities;Minimization;Downlink;Constructive interference (CI);downlink multiuser MISO;power minimization;symbol-level precoding (SLP)
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-258960DOI: 10.1109/LSP.2018.2870518ISI: 000446868000003Scopus ID: 2-s2.0-85053298299OAI: oai:DiVA.org:kth-258960DiVA, id: diva2:1350577
Note

QC 20191029

Available from: 2019-09-11 Created: 2019-09-11 Last updated: 2024-03-15Bibliographically approved

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Ottersten, Björn

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CiteExportLink to record
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  • apa
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  • de-DE
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