Peak Power Minimization in Symbol-level Precoding for Cognitive MISO Downlink Channels

Alodeh, Maha; Spano, Danilo; Chatzinotas, Symeon; Ottersten, Björn

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Peak Power Minimization in Symbol-level Precoding for Cognitive MISO Downlink Channels

Alodeh, Maha; Spano, Danilo; Chatzinotas, Symeon et al.

2016 • In IEEE Digital Signal Processing Conference

Peer reviewed

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https://hdl.handle.net/10993/28262

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Keywords :

Symbol-Level Precoding; Multiuser MISO

Abstract :

[en] This paper proposes a new symbol-level precoding scheme at the cognitive transmitter that jointly utilizes the data and channel information to reduce the effect of nonlinear amplifiers, by reducing the maximum antenna power under quality of service constraint at the cognitive receivers. In practice, each transmit antenna has a separate amplifier with individual characteristics. In the proposed approach, the precoding design is optimized in order to control the instantaneous power transmitted by the antennas, and more specifically to limit the power peaks, while guaranteeing some specific target signal-to-noise ratios at the receivers and respecting the interference temperature constraint imposed by the primary system. Numerical results show the effectiveness of the proposed scheme, which outperforms the existing state of the art techniques in terms of reduction of the power peaks.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Alodeh, Maha ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

Spano, Danilo ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

Chatzinotas, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

Ottersten, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

External co-authors :

Language :

English

Title :

Peak Power Minimization in Symbol-level Precoding for Cognitive MISO Downlink Channels

Publication date :

16 October 2016

Event name :

IEEE Digital Signal Processing Conference

Event organizer :

IEEE Signal Processing Society

Event place :

Beijing, China

Event date :

10-2016

Audience :

International

Main work title :

IEEE Digital Signal Processing Conference

Peer reviewed :

Peer reviewed

European Projects :

H2020 - 645047 - SANSA - Shared Access Terrestrial-Satellite Backhaul Network enabled by Smart Antennas

Funders :

CE - Commission Européenne [BE]

Available on ORBilu :

since 27 August 2016

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