Reference : Symbol-Level Precoding Design for Max-Min SINR in Multiuser MISO Broadcast Channels
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/36498
Symbol-Level Precoding Design for Max-Min SINR in Multiuser MISO Broadcast Channels
English
Haqiqatnejad, Alireza mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Kayhan, Farbod mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
27-Aug-2018
International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Kalamata 25-28 June 2018
Yes
2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
25-28 June 2018
IEEE
Kalamata
Greece
[en] Distance preserving constructive interference region ; max-min SINR ; multiuser MISO ; symbol-level precoding
[en] In this paper, we address the symbol level precoding (SLP) design problem under max-min SINR criterion in the downlink of multiuser multiple-input single-output (MISO) channels. First, we show that the distance preserving constructive interference regions (DPCIR) are always polyhedral angles (shifted pointed cones) for any given constellation point with unbounded decision region. Then we prove that any signal in a given unbounded DPCIR has a norm larger than the norm of the corresponding vertex if and only if the convex hull of the constellation contains the origin. Using these properties, we show that the power of the noiseless received signal lying on an unbounded DPCIR is an strictly increasing function of two parameters. This allows us to reformulate the originally non-convex SLP max-min SINR as a convex optimization problem. We discuss the loss due to our proposed convex reformulation and provide some simulation results.
http://hdl.handle.net/10993/36498
10.1109/SPAWC.2018.8445846
https://ieeexplore.ieee.org/document/8445846/
FnR ; FNR11332341 > Farbod Kayhan > ESSTIMS > Enhanced Signal Space opTImization for satellite comMunication Systems > 01/12/2016 > 31/01/2020 > 2016

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