LLR Reliability Improvement for Multilayer Signals

Cristina Regueiro; Jon Barrueco; Jon Montalban; Pablo Angueira; Juan Luis Ordiales; Manuel Velez

doi:10.1109/TBC.2016.2617280

LLR Reliability Improvement for Multilayer Signals

Cristina Regueiro
, Jon Barrueco
, Jon Montalban
, Pablo Angueira
, Juan Luis Ordiales
, Manuel Velez

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

The limitations and rigidness of current use of spectrum resources have fostered the design of new power multiplexing techniques to improve frequency efficiency and flexibility. These techniques are based on the simultaneous transmission of different services on the same channel with different power distribution. At the receiver side Log-likelihood ratio (LLR) probability density functions have been so far optimized for single layer systems, so the reception quality of multilayer signals with the existing LLR algorithms is degraded. This paper proposes a new LLR probability density function, including corrections for the multilayer influence, in order to improve reception performance. Simulation results are also included to test the performance improvement in terms of the receiving SNR threshold.

Original language	English
Article number	7874288
Pages (from-to)	275-281
Number of pages	7
Journal	IEEE Transactions on Broadcasting
Volume	63
Issue number	1
DOIs	https://doi.org/10.1109/TBC.2016.2617280
Publication status	Published - Mar 2017
Externally published	Yes

Keywords

FFAG accelerator
High-Tc superconducting magnet
REBCO coated conductor

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10.1109/TBC.2016.2617280

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title = "LLR Reliability Improvement for Multilayer Signals",

abstract = "The limitations and rigidness of current use of spectrum resources have fostered the design of new power multiplexing techniques to improve frequency efficiency and flexibility. These techniques are based on the simultaneous transmission of different services on the same channel with different power distribution. At the receiver side Log-likelihood ratio (LLR) probability density functions have been so far optimized for single layer systems, so the reception quality of multilayer signals with the existing LLR algorithms is degraded. This paper proposes a new LLR probability density function, including corrections for the multilayer influence, in order to improve reception performance. Simulation results are also included to test the performance improvement in terms of the receiving SNR threshold.",

keywords = "FFAG accelerator, High-Tc superconducting magnet, REBCO coated conductor",

author = "Cristina Regueiro and Jon Barrueco and Jon Montalban and Pablo Angueira and Ordiales, \{Juan Luis\} and Manuel Velez",

note = "Publisher Copyright: {\textcopyright} 1963-12012 IEEE.",

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AU - Regueiro, Cristina

AU - Barrueco, Jon

AU - Montalban, Jon

AU - Angueira, Pablo

AU - Ordiales, Juan Luis

AU - Velez, Manuel

PY - 2017/3

Y1 - 2017/3

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AB - The limitations and rigidness of current use of spectrum resources have fostered the design of new power multiplexing techniques to improve frequency efficiency and flexibility. These techniques are based on the simultaneous transmission of different services on the same channel with different power distribution. At the receiver side Log-likelihood ratio (LLR) probability density functions have been so far optimized for single layer systems, so the reception quality of multilayer signals with the existing LLR algorithms is degraded. This paper proposes a new LLR probability density function, including corrections for the multilayer influence, in order to improve reception performance. Simulation results are also included to test the performance improvement in terms of the receiving SNR threshold.

KW - FFAG accelerator

KW - High-Tc superconducting magnet

KW - REBCO coated conductor

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JO - IEEE Transactions on Broadcasting

JF - IEEE Transactions on Broadcasting

IS - 1

M1 - 7874288

ER -

LLR Reliability Improvement for Multilayer Signals

Abstract

Keywords

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