Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/148092
Title: LLR Reliability Improvement for Multilayer Signals
Authors: Cristina Regueiro;Jon Barrueco;Jon Montalban;Pablo Angueira;Juan Luis Ordiales;Manuel Velez
Year: 2017
Publisher: IEEE
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.
URI: http://localhost/handle/Hannan/148092
volume: 63
issue: 1
More Information: 275,
281
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7874288.pdf1.38 MBAdobe PDF
Title: LLR Reliability Improvement for Multilayer Signals
Authors: Cristina Regueiro;Jon Barrueco;Jon Montalban;Pablo Angueira;Juan Luis Ordiales;Manuel Velez
Year: 2017
Publisher: IEEE
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.
URI: http://localhost/handle/Hannan/148092
volume: 63
issue: 1
More Information: 275,
281
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7874288.pdf1.38 MBAdobe PDF
Title: LLR Reliability Improvement for Multilayer Signals
Authors: Cristina Regueiro;Jon Barrueco;Jon Montalban;Pablo Angueira;Juan Luis Ordiales;Manuel Velez
Year: 2017
Publisher: IEEE
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.
URI: http://localhost/handle/Hannan/148092
volume: 63
issue: 1
More Information: 275,
281
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7874288.pdf1.38 MBAdobe PDF